TW202242715A - Identity recognition method electronic equipment and computer-readable storage medium - Google Patents

Abstract

The present disclosure relates to an identity recognition method, an electronic device, and a computer-readable storage medium. The method includes: acquiring image information collected by a target image acquisition device; and determining the association with the target image acquisition device from a plurality of preset personnel libraries The target personnel database; based on the target personnel database, the collected image information is matched, and the identity information corresponding to the collected image information is determined.

Description

Identification method, electronic device, and computer-readable storage medium

The embodiment of this disclosure is based on the Chinese patent application with the application number 202110460309.9, the application date is April 27, 2021, and the application name is "identification method and device, electronic equipment and storage medium", and the priority of the Chinese patent application is required Right, the entire content of this Chinese patent application is hereby incorporated into this disclosure as a reference. The present disclosure relates to but not limited to the field of computer technology, and in particular relates to an identification method, electronic equipment, and a computer-readable storage medium.

Face detection, face recognition and face segmentation are of great significance in the image field. Through the detection and recognition of faces in images, it can provide strong support in applications such as face beautification and identity recognition.

Embodiments of the present disclosure at least provide an identification method, an electronic device, and a computer-readable storage medium.

An embodiment of the present disclosure provides an identification method, including: acquiring image information collected by a target image acquisition device; determining a target personnel database associated with the target image acquisition device from multiple preset personnel databases; Based on the target person database, the collected image information is matched to determine identity information corresponding to the collected image information.

In some implementations, there is a first corresponding relationship between the personnel database and the geographical area, and the determining the target personnel database associated with the target image acquisition device from the preset multiple personnel databases includes: obtaining the Deployment information of the target image acquisition device, and determine the target geographical area corresponding to the target image acquisition device based on the deployment information; based on the first correspondence, determine from the plurality of personnel databases The target personnel database corresponding to the target geographical area.

In some embodiments, there is a second corresponding relationship between the personnel database and the identification information of the image acquisition device, and the target personnel database associated with the target image acquisition device is determined from a plurality of preset personnel databases , including: acquiring the identification information of the target image acquisition device, and based on the second correspondence, determining the target person corresponding to the identification information of the target image acquisition device from the plurality of personnel databases library.

In some implementations, the target person database includes a plurality of reference image information, the collected image information includes person images, and based on the target person database, the collected image information is Matching, determining the identity information corresponding to the collected image information, including: performing feature extraction on the person image to obtain the first face feature; The feature is matched with the first reference image information, and the identity information corresponding to the first reference image information is determined as the identity information corresponding to the collected image information.

In some implementations, the target person library includes a plurality of reference image information, the collected image information includes the second facial features, and based on the target person library, the collected image Information matching, determining the identity information corresponding to the collected image information, including: searching the target person database for the second reference image information matching the second facial features, and matching the The identity information corresponding to the second reference image information is determined as the identity information corresponding to the collected image information.

In some embodiments, the method further includes: creating a personnel library according to personnel information, deployment information and/or identification information of image acquisition equipment, the personnel information including the relationship between reference image information and identity information of personnel corresponding relationship.

In some embodiments, the creating the personnel database according to the personnel information, and the deployment information and/or identification information of the image acquisition device includes: acquiring the personnel information; responding to the configuration operation of the personnel information, adding At least part of the personnel information in the personnel information is associated with the identification information of one or more image acquisition devices, or with the geographical area indicated by the deployment information of one or more image acquisition devices; based on the same identification information or Create a personnel database by associating personnel information in the same geographical area.

In some embodiments, the matching of the collected image information based on the target person database, and determining the identity information corresponding to the collected image information includes: including multiple information in the target person database In the case of multiple classification databases, according to the priority order of the plurality of classification databases from high to low, search for reference image information matching the collected image information one by one, until obtaining the reference image information that matches the collected image information. The reference image information matched with the collected image information; the identity information corresponding to the reference image information is determined as the identity information corresponding to the collected image information.

In some implementations, the classification library includes one or more of a focused object library, a common object library, and an abnormal object library.

In some embodiments, in an educational setting, the focused object library includes at least one of a teacher library and a student library; or, in a retail setting, the focused object library includes a member library and an employee library At least one of the .

An embodiment of the present disclosure provides an identity recognition device, including: an acquisition part configured to acquire image information collected by a target image acquisition device; a determination part used to determine from a plurality of preset personnel databases A target personnel database associated with the target image collection device; a matching part, configured to match the collected image information based on the target personnel database, and determine identity information corresponding to the collected image information.

In some implementations, there is a first corresponding relationship between the personnel database and the geographical area, and the determining part includes: a first determining sub-part configured to obtain the deployment information of the target image acquisition device, and based on the The deployment information determines the target geographical area corresponding to the target image acquisition device; the second determining subpart is configured to determine from the plurality of personnel databases the corresponding target geographical area based on the first correspondence relationship of the target personnel pool.

In some implementations, there is a second corresponding relationship between the personnel database and the identification information of the image acquisition device, and the determination part includes: a third determination subsection configured to obtain the identification of the target image acquisition device information, and based on the second correspondence, determine the target personnel database corresponding to the identification information of the target image acquisition device from the plurality of personnel databases.

In some implementations, the target person library includes a plurality of reference image information, the collected image information includes person images, and the matching part includes: a feature extraction subsection configured to The person image is subjected to feature extraction to obtain the first face feature; the first search subpart is configured to search for the first reference image information matching the first face feature in the target personnel database, and The identity information corresponding to the first reference image information is determined as the identity information corresponding to the collected image information.

In some implementations, the target person database includes a plurality of reference image information, the collected image information includes second facial features, and the matching part includes: a second search subsection configured to Searching for second reference image information matching the second face feature in the target person database, and determining the identity information corresponding to the second reference image information as matching the collected image The identity information corresponding to the information.

In some embodiments, the apparatus further includes: a creating part configured to create a personnel library according to personnel information, deployment information and/or identification information of image acquisition equipment, the personnel information including reference images of personnel Correspondence between information and identity information.

In some implementations, the creation part includes: an acquisition subsection configured to acquire the personnel information; a configuration subsection configured to respond to a configuration operation on the personnel information, at least Partial personnel information is associated with identification information of one or more image capture devices, or with a geographical area indicated by deployment information of one or more image capture devices; creating a subsection configured to be based on the same identification information Or associate personnel information in the same geographical area to create a personnel database.

In some embodiments, the matching part includes: in the case that the target personnel database includes multiple classified databases, according to the priority order of the multiple classified databases from high to low, searching for whether There is reference image information matching the collected image information until the reference image information matching the collected image information is obtained; determining the identity information corresponding to the reference image information as matching Identity information corresponding to the collected image information.

In some implementations, the classification library includes one or more of a focused object library, a common object library, and an abnormal object library.

In some embodiments, in an educational setting, the focused object library includes at least one of a teacher library and a student library; or, in a retail setting, the focused object library includes a member library and an employee library At least one of the .

An embodiment of the present disclosure provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein, the processor is configured to call the instructions stored in the memory to execute any of the above-mentioned The method of item identification.

An embodiment of the present disclosure provides a computer-readable storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, any one of the above identification methods is implemented.

An embodiment of the present disclosure also provides a computer program product, including computer-readable codes. When the computer-readable codes are run on the device, the processor in the device executes the method for realizing any one of the above identifications.

In the embodiment of the present disclosure, the target personnel database associated with the image acquisition device can be determined from multiple personnel databases, and the image information is matched based on the target personnel database to determine the identity information, and the image information based on the personnel database can be narrowed down. For example, the scope of information matching reduces the amount of computation and effectively improves the immediacy and efficiency of identification.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the accompanying drawings.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. The elements of the disclosed embodiments generally described and illustrated herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present disclosure is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making progressive efforts belong to the protection scope of the present disclosure.

In addition, the terms "first" and "second" in the description and claims in the embodiments of the present disclosure and the above drawings are used to distinguish similar items, and are not necessarily used to describe a specific order or sequence. It is to be understood that the materials so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein.

The term "and/or" in this article is an association relationship describing associated objects, which means that there can be three kinds of relationships, for example, A and/or B, which can mean: A exists alone, A and B exist at the same time, and B exists alone. Condition. In addition, the term "at least one" herein means any one of a variety or any combination of at least two of the more, for example, including at least one of A, B, and C, may mean including the composition consisting of A, B, and C Any one or more elements selected in the collection.

In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, components and circuits that are well known to those skilled in the art have not been described in detail so as to obscure the gist of the present disclosure.

Face recognition technology is a kind of biometric recognition technology. It combines multiple research fields such as image processing technology, computer graphics, and pattern recognition. It is an effective means for identity recognition. The identity recognition method based on face recognition usually pre-builds a personnel database. When performing identity recognition, the face image of the person to be verified is compared with the face image in the personnel database to determine the identity of the person to be verified. Person's identity information.

Among them, the identity recognition method based on face recognition can be applied to scenes such as stations, shopping malls, and schools. In related technologies, a personnel database is usually set up for a scene, for example, a personnel database corresponding to a school, and a personnel database corresponding to a shopping mall. A personnel database. When the amount of identity information stored in the personnel database is large, the computational complexity of face comparison will be large, which will reduce the immediacy and efficiency of identification.

The defects in the above solutions are all the results obtained by the inventor after practice and careful research. Therefore, the discovery process of the above problems and the solutions to the above problems proposed by the embodiments of the present disclosure below should be Contributions made by the inventors to the disclosure during the course of the disclosure.

Based on the above research, embodiments of the present disclosure provide an identity recognition method and device, electronic equipment, storage media, and computer program products, which associate a personnel database with a geographical area or an image acquisition device within a geographical area, and realize presets for the same scene. Multiple personnel databases, and then in the process of identity recognition, the target personnel database can be determined from multiple personnel databases according to the corresponding relationship between multiple personnel databases and geographic areas or image acquisition devices, and then based on the target personnel The database realizes identity recognition, thereby reducing the scope of image information matching based on the personnel database, reducing the amount of calculation, and effectively improving the immediacy and efficiency of identity recognition.

In order to facilitate the understanding of this embodiment, an identity identification method disclosed in the embodiment of the present disclosure is firstly introduced in detail. The identity identification method provided in the embodiment of the present disclosure can be executed by an electronic device such as a terminal device or a server, and the terminal device can be User equipment (User Equipment, UE), mobile devices, user terminals, terminals, cellular phones, wireless phones, personal digital assistants (Personal Digital Assistant, PDA), handheld devices, computing devices, vehicle-mounted devices, wearable devices, etc., The method can be realized by the way that the processor invokes the computer-readable instructions stored in the memory. Alternatively, the method can be executed through a cloud server or an edge node.

During implementation, it may be set according to actual needs whether the identity identification method is executed on a cloud server, or on a terminal device or an edge node, which is not limited by this embodiment of the present disclosure. It should be understood that the electronic device executing the identification method may store a plurality of preset person libraries, so as to determine the target person library and match the collected image information based on the target person library.

Figure 1 is a schematic flowchart of an identification method provided by an embodiment of the present disclosure. As shown in Figure 1, the identification method includes: In step S11, the image information collected by the target image collection device is acquired; In step S12, the target personnel database associated with the target image acquisition device is determined from a plurality of preset personnel databases; In step S13, based on the target person database, the collected image information is matched, and identity information corresponding to the collected image information is determined.

It should be understood that the user may deploy one or more image acquisition devices in a geographical area, where the geographical area may be a school area, a shopping mall area, a store area, a station area, etc., where the flow of people is usually counted; The image acquisition device may include: ordinary/smart inter-process communication (Inter-Process Communication, IPC) device, smart module (network version) device, business module/business SDK device, etc., which are not limited by the embodiments of the present disclosure .

Wherein, the image acquisition equipment in the geographical area can be connected with the above-mentioned electronic equipment, so as to send the collected image information to the electronic equipment, and realize the above-mentioned identification method. It should be understood that there is a corresponding relationship between the image acquisition device and the geographical area, and the target image acquisition device may be one or more image acquisition devices in the geographical area.

In some implementations, the collected image information may include: the person image collected by the target image collection device, and/or the facial features of the person image.

Among them, when the collected image information is the face feature of the person image, the face feature extraction of the collected person image can be performed through the image acquisition device, and the extracted face feature can be sent to the above electronic in the device. Through this method, the privacy of objects in the collected image information can be protected, and the probability of illegally obtaining personnel images can be reduced.

During implementation, a face feature extraction network can be deployed in the image acquisition device, so as to perform face feature extraction on the captured person images through the face feature extraction network. The embodiment of the present disclosure does not limit the network structure, network type and training method of the face feature extraction network.

At the same time, considering that some image acquisition equipment may not have computing power and storage capacity, the image acquisition equipment can also send the collected personnel images to the above-mentioned electronic equipment, and perform the processing of the collected personnel images in the electronic equipment. Extraction of facial features.

In some implementations, the collected image information may also contain the identification information of the image acquisition device, so as to distinguish which image acquisition device the collected image information was collected by through the identification information, and also to facilitate determining the A target personnel database associated with the image acquisition device, so as to realize matching of collected image information based on the target personnel database. Wherein, the identification information may be represented in the form of a character string, or may be represented in other forms, which are not limited in this embodiment of the present disclosure.

In some implementations, in step S12, the preset multiple personnel databases may be pre-built personnel databases according to actual needs. The embodiment of the present disclosure does not limit the number and construction methods of the personnel databases. For example, Use the existing personnel database as the basis for construction, or rebuild the personnel database, etc. Wherein, the personnel database may at least store the reference image information and the corresponding identity information of the personnel, that is, store the corresponding relationship between the reference image information and the identity information of the personnel.

Wherein, the reference image information may include a face image and/or face features; the identity information may be a customer or an employee, an ordinary customer or a member customer, etc. The content of the identity information is not limited in this embodiment of the present disclosure.

In some implementations, multiple personnel databases may be associated with image acquisition devices in advance, or multiple personnel databases may be associated with geographical areas, that is, the relationship between multiple personnel databases and image acquisition equipment and/or geographical areas There is a corresponding relationship between them. In this way, in step S12, the target personnel database associated with the target image acquisition device can be determined from the preset multiple personnel databases according to the corresponding relationship.

In some embodiments, in step S13, based on the target person database, the collected image information is matched to determine the identity information corresponding to the collected image information, which may include: determining the collected image information and the target person database The similarity between the reference image information in; according to the similarity, determine the reference image information that matches the collected image information from the target personnel database; correspond to the reference image information that matches the collected image information The identity information of is determined as the identity information corresponding to the collected image information.

During implementation, the similarity between the collected image information and the reference image information can be determined according to the distance between the collected image information and the reference image information, for example, according to the person in the collected image information The distance between the face feature and the face feature in the reference image information determines the similarity between the collected image information and the reference image information.

Wherein, the distance may include but not limited to: cosine distance, Euclidean distance, Mahalanobis distance and the like. It should be understood that there may be a negative correlation between the distance and the similarity, that is, the closer the distance, the higher the similarity between the collected image information and the reference image information in the target person database; The farther, the lower the similarity.

In some embodiments, according to the similarity, determining the reference image information matching the collected image information from the target personnel database may include: determining the reference image information in the target personnel database whose similarity exceeds the similarity threshold. is the reference image information matched with the collected image information. Among them, the size of the similarity threshold can be set according to the extraction accuracy of facial features, the calculation accuracy of similarity, the processing capability or resource occupation of the equipment used to realize feature extraction and similarity calculation, etc., for example, it can be set to 0.86 , which is not limited in this embodiment of the present disclosure.

In the embodiment of the present disclosure, the target personnel database associated with the image acquisition device can be determined from multiple personnel databases, and the collected image information is matched based on the target personnel database to determine the identity information, which can narrow down the number of people based on the personnel database. The scope of matching the collected image information reduces the amount of computation and effectively improves the immediacy and efficiency of identification.

As noted above, there may be correspondences between multiple population pools and geographic regions. In some embodiments, there is a first corresponding relationship between the personnel database and the geographical area. In step S12, the target personnel database associated with the target image acquisition device is determined from the preset multiple personnel databases, including: Obtain deployment information of the target image acquisition device, and determine a target geographical area corresponding to the target image acquisition device based on the deployment information; based on the first correspondence, determine a target personnel database corresponding to the target geographical area from multiple personnel databases.

As mentioned above, one or more image acquisition devices may be deployed within a geographic area. The geographic area where the target image capture device is located may be the target geographic area.

Wherein, the deployment information may include information such as the geographic location of the target image acquisition device, the identification of the deployment area, and the like. The geographical location may be a Global Positioning System (Global Positioning System, GPS) positioning, and the deployed area identifier represents the geographical area where the image acquisition device is located. It should be understood that the target geographic area corresponding to the target image acquisition device may be determined according to the above at least one type of deployment information.

As mentioned above, the first correspondence may also include the correspondence between the geographical area and the identification information of the image acquisition device. Based on this, the target geographical area may also be determined according to the identification information of the target image acquisition device.

In some implementations, the first corresponding relationship between the personnel database and the geographic area can be preset according to actual needs, for example, a geographic area can be set to correspond to one or more personnel databases, for example, a personnel database a can be set to correspond to a store A corresponds, the personnel database b corresponds to the store B, and the personnel databases c1 and c2 correspond to the store C respectively, which is not limited in this embodiment of the present disclosure. Based on this, the target personnel database corresponding to the target geographic area may include one or more.

In the embodiment of the present disclosure, the target personnel database can be determined based on the first corresponding relationship between the geographical area and the personnel database, and the image information collected in the same geographical area can be effectively realized to correspond to the corresponding target personnel. The reference image information in the library is matched.

Because the shooting coverage area of each image acquisition device in the geographical area is different, for example, for the school area, each class can be equipped with an image acquisition device, and each class can correspond to its own personnel database, then the personnel of the class can be set The database is associated with the image acquisition equipment in the class, so that the target personnel database can be determined for matching according to the image acquisition equipment associated with the class, so that the matching scope of the collected image information can be further narrowed, and the amount of calculation can be reduced , effectively improving the immediacy and efficiency of identification.

As mentioned above, there may be a corresponding relationship between multiple personnel databases and image acquisition devices. In some implementations, it is also possible to set a second corresponding relationship between the personnel database and the identification information of the image acquisition device. Targeted personnel pool, including: The identification information of the target image acquisition device is acquired, and based on the second corresponding relationship, the target personnel database corresponding to the identification information of the target image acquisition device is determined from multiple personnel databases.

As mentioned above, the collected image information may carry the identification information of the target image device, and the identification information may identify different image acquisition devices, wherein the identification information of the target image device may be obtained from the collected image information .

It should be understood that the second corresponding relationship between the personnel database and the identification information of the image acquisition device reflects the corresponding relationship between the personnel database and the image acquisition device. Wherein, the second corresponding relationship between the personnel database and the identification information of the image acquisition device can be set according to actual needs, and the target image acquisition device can correspond to one or more target personnel databases.

In the embodiment of the present disclosure, it is possible to determine the corresponding target personnel database with a relatively small amount of data for the target image acquisition device, which can narrow the scope of matching image information collected based on the target personnel database, reduce the amount of computation, and effectively Improve the immediacy and efficiency of identification.

During implementation, the collected image information may include the image of the person collected by the image collection device. In some embodiments, the target person database includes a plurality of reference image information, and the collected image information includes person images. In step S13, the collected image information is matched based on the target person database, and determined Identity information corresponding to the collected image information, including: Perform feature extraction on the person image to obtain the first face feature; Searching the first reference image information matching the first face feature in the target person database, and determining the identity information corresponding to the first reference image information as the identity information corresponding to the collected image information.

Wherein, the face feature extraction may be performed on the person image through the above-mentioned face feature extraction network. It can be understood that the person image may contain at least one facial feature of an object. It should be understood that the face feature extraction network is deployed in the above-mentioned electronic devices.

The reference image information in the target person database may include: face images and/or face features. In the case where the reference image information only includes a face image, searching for the first reference image information matched with the first face feature in the target personnel database may include: extracting the face images in the target personnel database one by one The facial features are further matched with the first facial features to find out the first reference image information matching the first facial features.

In some implementations, when the reference image information in the target person database includes facial features, the first reference image that matches the first facial features can be found in the target personnel database according to the first facial features. Image information. Through this method, the immediacy and efficiency of identification can be improved.

During implementation, the reference image information matching the collected image information may be determined according to the similarity between the collected image information and the reference image information. Searching the first reference image information matched with the first facial features in the target personnel library may include: calculating the similarity between the facial features in the target personnel library and the first facial features one by one, and making the similarity less than The face feature in the target person database with the similarity threshold is used as the first reference image information matched with the first face feature.

Reference image information and corresponding identity information are stored in the personnel database. In the case of determining the first reference image information matched with the first face feature, the identity information corresponding to the first reference image information can be obtained, for example, whether the object is a member or an ordinary customer, so as to facilitate the identification of the personnel database Statistical analysis of personnel behavior in the system.

In some embodiments, after determining the identity information corresponding to the collected image information, the behavior information of the object corresponding to the identity information can be recorded based on the identity information. For example, member 001 enters the store at a certain moment, and at a certain moment Out of the store; it can also be used to count the number of times that ordinary customers 002 enter the store within a statistical period, etc.

In some implementations, if there is no first reference image information matching the first facial feature in the target person database, the identity information of the object with the first facial feature can be added to the target person database and reference image information, and record the behavior information of the object, so as to analyze the passenger flow situation in the geographical area, which is not limited in the embodiments of the present disclosure.

In the embodiment of the present disclosure, the identity information corresponding to the collected image information can be effectively determined according to the first face feature in the collected image information and the target person database.

During implementation, in order to protect the privacy of objects in the image information and reduce the probability of illegally obtaining images of persons, the collected image information may also be facial features of the images of persons. In some embodiments, the target person database includes a plurality of reference image information, and the collected image information includes the second facial features. In step S13, based on the target person database, the collected image information is Perform matching to determine the identity information corresponding to the collected image information, which may include: Find the second reference image information matching the second face feature in the target person database, and determine the identity information corresponding to the second reference image information as the identity information corresponding to the collected image information.

As mentioned above, the facial feature extraction network can be deployed in the image acquisition device, and the facial feature extraction of the captured person images can be performed in the image acquisition device. Based on this, the second face feature may be a face feature obtained by performing feature extraction on the captured person image performed in the image capture device.

Wherein, searching for the second reference image information matching the second face feature in the target person database can be the same method as above-mentioned searching for the first reference image information matching the first face feature in the target person database. method, which will not be described here.

Reference image information and corresponding identity information are stored in the personnel database. When the second reference image information matching the second facial features is determined, the identity information corresponding to the second reference image information can be obtained, so as to facilitate the statistical analysis of the personnel behavior in the personnel database.

In the embodiment of the present disclosure, not only the privacy of objects in the image information can be protected, but also the identity information corresponding to the collected image information can be effectively determined according to the second facial features and the target person database.

In some embodiments, the method may further include: creating a personnel database according to personnel information, deployment information and/or identification information of image acquisition equipment, and the personnel information includes reference image information and identity information of the personnel Correspondence between.

Wherein, the reference image information of the person may include a pre-collected person image, and/or a face feature in a pre-extracted person image. The correspondence between the reference image information and the identity information may include: reference image information, and identity information corresponding to the reference image information. The identity information may include personnel number, personnel identity and other information.

Among them, the personnel number can be the information that uniquely identifies the personnel such as mobile phone number, job number and/or ID number; Identities may include members, employees, abnormal customers, normal customers, etc.; for school scenarios, personnel identities may include students, teachers, abnormal visitors, normal visitors, etc., which are not limited in this embodiment of the present disclosure.

In some embodiments, creating a personnel database according to the personnel information, and the deployment information and/or identification information of the image acquisition equipment may include: establishing a personnel database according to the personnel information; setting the relationship between the personnel database and the geographical area indicated by the deployment information The first corresponding relationship between them, and/or, the second corresponding relationship between the personnel database and the identification information of the image acquisition device is set, so as to create the personnel database.

In the embodiment of the present disclosure, the personnel database can be effectively created according to the personnel information, and the deployment information and/or identification information of the image acquisition equipment, so as to improve the processing efficiency of the identification during the identification process.

In some implementation manners, the creation of the personnel database according to the personnel information, and the deployment information and/or identification information of the image acquisition equipment includes: Obtaining personnel information; in response to the configuration operation of the personnel information, associating at least part of the personnel information with the identification information of one or more image acquisition devices, or indicating the deployment information of one or more image acquisition devices The geographical area is associated; based on the personnel information associated with the same identification information or the same geographical area, a personnel database is created.

Among them, the user can import the personnel information into the designated database to obtain the personnel information imported by the user. For example, the personnel information may be imported into the specified database by adding one by one or importing in batches, which is not limited in this embodiment of the present disclosure.

The configuration operation for personnel information can be realized through the configuration interface of the personnel database configuration system. FIG. 2A is a schematic diagram of a personnel information configuration interface 1000 provided by the embodiment of the present disclosure. As shown in FIG. 2A, the user can choose to associate with a geographical area in the drop-down list 1001 at the "personnel database" in FIG. 2A. A predetermined personnel database, such as "personnel database c1" in Figure 2A; in the drop-down list 1002 at the "geographical area" in Figure 2A, select the regional identification of the geographical area associated with the personnel database, as shown in "Area 0079"; and by clicking the "Finish" button 1003, the association and binding between the personnel database and the geographical area is realized.

Figure 2B is a schematic diagram of a personnel information configuration interface 2000 provided by the embodiment of the present disclosure. As shown in Figure 2B, the user can select an image acquisition device through the drop-down list 2001 at the "personnel database" in Figure 2B The associated and bound personnel database, such as "personnel database c2" in Figure 2B; and in the drop-down list 2002 at the "Image Acquisition Device" in Figure 2B, the identification information of the image acquisition equipment through single or multiple selection , to select the image acquisition device associated and bound with the personnel database; and by clicking the "Finish" button 2003, the association and binding between the personnel database and the image acquisition device is realized. It should be understood that the drop-down list may provide a selection control item for single selection or multiple selection, and a slide bar control item for sliding to view identification information, which is not limited by this embodiment of the present disclosure.

Associating at least part of the personnel information with identification information of one or more image acquisition devices can be understood as configuring an image acquisition device to associate with some or all of the personnel information imported by users. Associating at least part of the personnel information with one or more geographical areas indicated by the deployment information of image acquisition devices can be understood as configuring a certain geographical area to be associated with some or all of the personnel information imported by users. The geographic area indicated by the deployment information of the one or more image capture devices, that is, the geographic area where the one or more image capture devices are located.

It should be understood that the personnel information imported by the user can be stored in one or more designated databases, or stored in one or more designated tables in the same designated database. Associating at least part of the personnel information with the image acquisition device or with the geographical area may include: associating at least part of the designated database or at least part of the designated table with the image acquisition device or with the geographical area, so as to realize the identification based on the same identification information Or associate personnel information in the same geographical area to create a personnel database.

Wherein, the same identification information can be understood as the same image acquisition device, and the personnel information associated with the same identification information can be understood as the personnel information in a designated database or a designated table associated with the same image acquisition device. The personnel information associated with the same geographic area can be understood as the personnel information in the specified database or specified table associated with the same geographic area.

For example, people information can include all students and all teachers in a school. The personnel information of all students in the school can be stored in a student database, and students of different classes can be stored in different class tables in the same student database. The number of teachers is relatively small compared to the number of students, and all teachers can be stored in a grade table in a teacher database according to grade. Based on this, you can configure the image acquisition devices of each class to be associated with the student database, and you can also configure the image acquisition devices of each class to be associated with the corresponding class table; and you can configure the image acquisition devices of each class under different grades to be associated with teachers Database association, you can also configure the image acquisition equipment of each class under the same grade to be associated with the corresponding grade table.

In the embodiment of the present disclosure, the personnel database can be effectively created according to the personnel information, and the deployment information and/or identification information of the image acquisition equipment, so as to narrow down the The matching range of image information collected based on the target personnel database during identity recognition can reduce the amount of computation and help improve the immediacy and processing efficiency of identity recognition.

During implementation, the personnel database may include one or more classification databases. If the personnel database includes multiple classification databases, a priority order is set for the multiple classification databases, and matching reference image information is searched according to the priority order. In some embodiments, in step S13, based on the target person database, the collected image information is matched, and the identity information corresponding to the collected image information is determined, which may include: In the case that the target personnel database includes multiple classification databases, according to the priority order of the multiple classification databases from high to low, search for reference image information matching the collected image information one by one until the obtained Reference image information matching the collected image information; identifying the identity information corresponding to the reference image information as the identity information corresponding to the collected image information.

In some implementations, the classification library includes one or more of a focused object library, a common object library, and an abnormal object library. In an educational scenario, the focused object library includes at least one of a teacher library and a student library; or, in a retail scenario, the focused object library includes at least one of a member library and a staff library.

The common object library may refer to a whitelisted person library, for example, a normal visitor library; the abnormal object library may refer to a blacklisted person library, for example, an abnormal visitor library.

It should be understood that the priority order of the classification databases can be set according to actual needs, which is not limited in this embodiment of the present disclosure. For example, it can be set according to the data volume of each classification database, that is, the priority order of the classification databases with the smaller data volume The higher; for another example, it can be set according to the degree of attention to the object category indicated by the classification library, that is, the priority of the classification library corresponding to the most concerned object category is set to the highest, and so on. For example: You can set the priority order of the member library, employee library, abnormal object library and common object library in descending order, that is, you can search whether there are member library, employee library, abnormal object library and common object library in sequence Reference image information matching the captured image information.

In order to facilitate the understanding of the above order of priority from high to low according to the multiple classification libraries, search for reference image information that matches the collected image information one by one, until the reference image information that matches the collected image information is obtained. The process of image information is described as follows by taking the priority order of setting member library, employee library, abnormal object library and common object library in descending order in the retail scene as an example: It can be searched first in the member library; when the reference image information matching the collected image information is found in the member library, it is determined that the identity of the visitor is a member. At this point, you can record the member's behavior information, such as visit time, visit times, etc., and end this search. If the member database does not search for reference image information that matches the collected image information, continue to search in the next classification database (employee database).

When the reference image information matching the collected image information is found in the employee database, it is determined that the identity of the visitor is an employee. At this point, the search can be ended. If no reference image information matching the collected image information is found in the employee database, continue to search in the next classification library (abnormal object library).

When the reference image information matching the collected image information is found in the abnormal object library, it is determined that the identity of the visitor is a blacklisted person. At this time, the behavior information of the blacklisted person can be recorded, such as the time of visit, the number of visits, etc., and the search can be ended. Optionally, the alarm information of the blacklisted personnel's visit can also be pushed to the terminal user. In the case that the abnormal object library does not find the reference image information matching the collected image information, continue to search in the next classification library (ordinary object library).

When the reference image information matching the collected image information is found in the general object library, it is determined that the identity of the visitor is an ordinary visitor. At this point, the behavior information of the common visitor, such as the time of visit, the number of visits, etc., can be recorded, and this search can be ended. In the case that the general object library does not find reference image information matching the collected image information, the face image and/or facial feature information of the ordinary visitor may be added to the ordinary object library, For example, it can indicate that a new customer has come to the store.

In the embodiment of the present disclosure, the image matching can be performed by efficiently and sequentially searching the classification library, which improves the processing efficiency of identification.

In some implementation manners, after obtaining the identity information and behavior information of the object, the method may further include: sending at least one of the identity information and behavior information of the object to the terminal.

In some embodiments, the terminal includes a personal computer PC, a smart phone, a wearable device or a tablet computer, and the like. The cloud server can push various information to the terminal through the network. When the cloud server determines the identity information of the object, at least one of the identity information and behavior information of the object can be pushed to the terminal. Wherein, the behavior information may include one or more of visiting time, visiting times, visiting area and so on.

In some implementations, for retail scenarios, when the cloud server determines that the identity of the object is member z, it can push the behavior information of member z to the terminal, so that users can check the visit status of member z and make corresponding actions. Responses. For example, based on information such as member z's historical shopping records, products and promotional activities can be pushed to member z.

In some implementations, the process of creating a personnel database may include: establishing a personnel database; adding personnel to the personnel database; setting the execution subject of the identification method; associating the personnel database with a geographical area, or associating the personnel database with image acquisition equipment.

In some embodiments, different types of personnel databases are established according to needs. The types of personnel databases can be divided into six categories: member databases, employee databases, whitelist databases, blacklist databases, student databases, and teacher databases. Among them, the teacher database and The student library is mainly used in education scenarios, and the member library is mainly used in store scenarios.

In some embodiments, after the personnel database is created, personnel can be added for a specific personnel database, or personnel can be added directly by entering the personnel management page. Among them, adding personnel can be added individually or imported in batches. The import is divided into two parts, multiple pictures of personnel and an Excel table including all personnel information, where the associated items in the Excel table are the unique corresponding items of the pictures and each person in Excel, and cannot be repeated. The personnel number is a unique code that identifies the identity of the person, which can be a mobile phone number, job number, ID number, etc.

In some implementations, it can be set according to personal needs whether the identity recognition function compared with the face static program library (personnel library) is done in the cloud or in the edge node. The default is in the cloud. If you choose the edge node or smart Terminals are implemented on specific edge nodes or smart terminals.

In some implementations, it can be set to associate the personnel database with a specific branch (geographical area). A branch mainly refers to a store, a school, etc. If the personnel database is bound to a branch, the same branch Organizations use this personnel database for comparison.

In some implementations, if the number of personnel pools is too large, binding to a branch office may lead to too long a base database comparison time, for example, a scenario is a school, different classrooms want to use different student pools, then you can Bind the personnel database to specific shooting equipment (image acquisition equipment): including ordinary/smart IPC, smart module (network version), business module/business SDK. In this way, a personnel database with a small amount of data can be obtained for each device, which reduces the probability of an increase in the misrecognition rate due to too many personnel in the bottom database, and also reduces the time-consuming comparison.

In some implementations, after the above process is set up, the data will be reported normally. At this time, you can check the identities and records of different people compared with the personnel database, and the number of personnel with special identities can also be exported. report for further analysis.

According to the identity identification method of the embodiment of the present disclosure, it can be aimed at a variety of different terminal types: smart modules, smart IPCs, business SDKs, and edge nodes. By setting different image acquisition devices, the shunt processing of the personnel database can be realized, and the performance can be improved. and accuracy. And users can flexibly configure the personnel pool to be bound to branches or to specific devices according to their own needs, which is convenient and intuitive to use.

In the usage scenario of the personnel pool in the related art, a large staff pool is set up for a merchant. This has a problem that when the number of staff pools is very large, the processing time will be too long and the delay will be large. And because the personnel database is too large, the probability of the same person being identified as other people is also high. The embodiment of the present disclosure aims at this situation by splitting the larger personnel database into different personnel databases and sending them to the bundled personnel database. Different image acquisition equipment can be used for different personnel bases to perform corresponding differentiated processing, which can effectively solve the above problems.

According to the identity identification method of the embodiment of the present disclosure, for the application scenario of the personnel database, the binding and management of the personnel database and the device are carried out for the terminal equipment, the edge node, and the cloud service multi-party use of the personnel database, so as to better realize the personnel database To improve the processing efficiency of personnel database comparison and reduce the amount of calculation.

The identity identification method according to the embodiments of the present disclosure can be applied to products requiring personnel database management, such as schools, supermarket passenger flow, stores, 4S stores, and the like.

According to the identity identification method of the embodiment of the present disclosure, it is possible to support targeted delivery of personnel databases on edge nodes or smart IPC devices, reducing the time-consuming loading or processing of large databases.

It can be understood that the above-mentioned method embodiments mentioned in this disclosure can all be combined with each other to form a combined embodiment without violating the principle and logic. Those skilled in the art can understand that in the above method of specific implementation, the writing order of each step does not mean a strict execution order and constitutes any limitation on the implementation process. The specific execution order of each step should be based on its function and possible The inner logic is OK.

Based on the same inventive concept, the embodiment of the present disclosure also provides an identity recognition device corresponding to the identity recognition method. Since the problem-solving principle of the device in the embodiment of the present disclosure is similar to the above-mentioned identity recognition method in the embodiment of the present disclosure, the implementation of the device See the implementation of the method.

Figure 3 is a schematic diagram of an identity recognition device provided by an embodiment of the present disclosure. As shown in Figure 3, the device includes: The obtaining part 101 is configured to obtain image information collected by the target image collection device; The determining part 102 is configured to determine a target person library associated with the target image acquisition device from a plurality of preset person libraries; The matching part 103 is configured to match the collected image information based on the target person database, and determine identity information corresponding to the collected image information.

In some implementations, there is a first corresponding relationship between the personnel database and the geographical area, and the determining part 102 includes: a first determining subpart configured to obtain the deployment information of the target image acquisition device, and based on The deployment information determines the target geographic area corresponding to the target image acquisition device; the second determining subpart is configured to determine from the plurality of personnel databases the target geographic area based on the first corresponding relationship The corresponding target personnel database.

In some implementations, there is a second corresponding relationship between the personnel database and the identification information of the image acquisition device, and the determining part 102 is configured as: a third determining subpart configured to obtain the target image acquisition identification information of the device, and based on the second correspondence, determine the target personnel database corresponding to the identification information of the target image acquisition device from the plurality of personnel databases.

In some implementations, the target person database includes a plurality of reference image information, the collected image information includes person images, and the matching part 103 includes: a feature extraction subsection configured to Feature extraction is performed on the person image to obtain the first face feature; the first search subpart is configured to search the target person database for the first reference image information matching the first face feature, and The identity information corresponding to the first reference image information is determined as the identity information corresponding to the collected image information.

In some implementations, the target person database includes a plurality of reference image information, and the collected image information includes the second facial features, and the matching part 103 includes: a second search subsection configured In order to search the target person database for the second reference image information that matches the second face feature, and determine the identity information corresponding to the second reference image information as the image information collected The identity information corresponding to the image information.

In some implementations, the apparatus further includes: a creating part, configured to create a personnel library according to personnel information, deployment information and/or identification information of image acquisition equipment, the personnel information including reference image information of personnel Correspondence with identity information.

In some implementations, the creation part includes: an acquisition subsection configured to acquire the personnel information; a configuration subsection configured to respond to a configuration operation on the personnel information, at least Partial personnel information is associated with identification information of one or more image capture devices, or with a geographical area indicated by deployment information of one or more image capture devices; creating a subsection configured to be based on the same identification information Or associate personnel information in the same geographical area to create a personnel database.

In some implementations, the matching part 103 includes: in the case that the target personnel database includes a plurality of classification databases, according to the order of priority of the multiple classification databases from high to low, search for each classification database Whether there is reference image information matching the collected image information, until the reference image information matching the collected image information is obtained; determining the identity information corresponding to the reference image information as Identity information corresponding to the collected image information.

In some implementations, the classification library includes one or more of a focused object library, a common object library, and an abnormal object library.

In some embodiments, in an educational setting, the focused object library includes at least one of a teacher library and a student library; or, in a retail setting, the focused object library includes a member library and an employee library At least one of the .

In the embodiment of the present disclosure, the target personnel database associated with the image acquisition device can be determined from multiple personnel databases, and the collected image information is matched based on the target personnel database to determine the identity information, which can narrow down the number of people based on the personnel database. The range of image information matching reduces the amount of computation and effectively improves the efficiency of real-time identification.

In some embodiments, the functions or parts included in the apparatus provided by the embodiments of the present disclosure can be used to execute the methods described in the above method embodiments, and for specific implementation, refer to the descriptions of the above method embodiments.

In the embodiments of the present disclosure and other embodiments, a "part" may be a part of a circuit, a part of a processor, a part of a program or software, etc., of course, may also be a unit, and may also be a module or non-modular.

An embodiment of the present disclosure also provides a computer-readable storage medium, on which computer program instructions are stored, and the above-mentioned method is implemented when the computer program instructions are executed by a processor. Computer readable storage media can be volatile or nonvolatile computer readable storage media.

An embodiment of the present disclosure also provides an electronic device, including: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to invoke the instructions stored in the memory to execute the above method. Electronic devices may be provided as terminals, servers, or other types of devices. FIG. 4 is a schematic structural diagram of an electronic device 400 according to an embodiment of the present disclosure. For example, the electronic device 400 may be a terminal such as a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.

Referring to FIG. 4, electronic device 400 may include one or more of the following elements: processing element 402, memory 404, power supply element 406, multimedia element 408, audio element 410, input/output (I/O) interface 412, sensing Device element 414, and communication element 416.

The processing element 402 generally controls the overall operations of the electronic device 400, such as operations associated with display, phone calls, data communication, camera operations, and recording operations. The processing element 402 may include one or more processors 420 to execute instructions to complete all or part of the steps of the above method. Additionally, processing element 402 may include one or more portions that facilitate interaction between processing element 402 and other elements. For example, processing element 402 may include a multimedia portion to facilitate interaction between multimedia element 408 and processing element 402 .

The memory 404 is configured to store various types of data to support operations of the electronic device 400 . Examples of such data include instructions for any application or method operating on the electronic device 400 , contact information, phonebook information, messages, pictures, videos, and the like. The memory 404 can be implemented by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic Disk or Optical Disk.

The power supply element 406 provides power to various elements of the electronic device 400 . Power component 406 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for electronic device 400 .

The multimedia component 408 includes a screen providing an output interface between the electronic device 400 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or slide action, but also detect a duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia element 408 includes a front camera and/or a rear camera. When the electronic device 400 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capability.

The audio component 410 is configured to output and/or input audio signals. For example, the audio component 410 includes a microphone (MIC), which is configured to receive external audio signals when the electronic device 400 is in operation modes, such as call mode, recording mode and voice recognition mode. The received audio signal can be further stored in the memory 404 or sent via the communication component 416 . In some embodiments, the audio component 410 further includes a speaker for outputting audio signals.

The I/O interface 412 provides an interface between the processing element 402 and peripheral interface modules, which may be keyboards, click wheels, buttons, and the like. These buttons may include, but are not limited to: a home button, volume buttons, start button, and lock button.

Sensor element 414 includes one or more sensors for providing various aspects of status assessment for electronic device 400 . For example, the sensor element 414 can detect the open/closed state of the electronic device 400, the relative positioning of elements such as the display and keypad of the electronic device 400, the sensor element 414 can also detect the electronic device 400 or The position of a component of the electronic device 400 changes, the presence or absence of user contact with the electronic device 400 , the orientation or acceleration/deceleration of the electronic device 400 and the temperature of the electronic device 400 change. The sensor element 414 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor element 414 may also include a light sensor, such as a complementary metal-oxide-semiconductor (CMOS) or charge-coupled device (CCD) image sensor, for use in imaging applications. In some embodiments, the sensor element 414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

The communication component 416 is configured to facilitate wired or wireless communication between the electronic device 400 and other devices. The electronic device 400 can access a wireless network based on communication standards, such as wireless network (WiFi), second generation mobile communication technology (2G), third generation mobile communication technology (3G), long term evolution technology (Long Term Evolution, LTE) or the fifth generation mobile communication technology (5G), or a combination thereof. In an exemplary embodiment, the communication component 416 receives broadcast signals or broadcast related information from an external broadcast management system through a broadcast channel. In an exemplary embodiment, the communication element 416 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, electronic device 400 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), A Field Programmable Gate Array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the method described above.

In an exemplary embodiment, there is also provided a non-volatile computer-readable storage medium, such as the memory 404 including computer program instructions, which can be executed by the processor 420 of the electronic device 400 to implement the above method.

FIG. 5 is a schematic structural diagram of an electronic device 500 provided by an embodiment of the present disclosure. For example, the electronic device 500 can be provided as a server. Referring to FIG. 5, the electronic device 500 includes a processing element 501, which further includes one or more processors, and a memory resource represented by a memory 502 for storing instructions executable by the processing element 501, such as application programs . The application programs stored in memory 502 may include one or more portions each corresponding to a set of instructions. In addition, the processing element 501 is configured to execute instructions to perform the above method.

The electronic device 500 may also include a power supply element 503 configured to perform power management of the electronic device 500, a wired or wireless network interface 504 configured to connect the electronic device 500 to a network, and an input-output (I/O) interface 505 . The electronic device 500 can operate based on the operating system stored in the memory 502, such as the Microsoft server operating system (Windows Server ^TM ), the operating system based on the graphical user interface (Mac OS X ^TM ) introduced by Apple Inc., multi-user and multi-user Processed computer operating system (Unix ^™ ), free and open source Unix-like operating system (Linux ^™ ), open source Unix-like operating system (FreeBSD ^™ ) or similar.

In an exemplary embodiment, there is also provided a non-volatile computer-readable storage medium, such as a memory 502 including computer program instructions, which can be executed by the processing element 501 of the electronic device 500 to implement the above method.

An embodiment of the present disclosure also provides a computer program product, including computer-readable codes. When the computer-readable codes run on the device, the processor in the device executes instructions for implementing the identification method provided in any of the above embodiments. .

Embodiments of the present disclosure also provide another computer program product, which is used for storing computer-readable instructions. When the instructions are executed, the computer executes the operation of the identification method provided by any of the above-mentioned embodiments.

Embodiments of the present disclosure may be apparatuses, systems, methods and/or computer program products. The computer program product may include a computer-readable storage medium loaded with computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

A computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable Design read-only memory (EPROM or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick , a magnetic sheet, a mechanical encoding device, such as a punched card with instructions stored thereon or a raised structure in a groove, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be interpreted as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (for example, light pulses through fiber optic cables), or Electrical signals transmitted by wires.

The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing/processing device, or to an external computer or computer via a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. External storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in computer-readable storage in each computing/processing device in the media.

Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or code in one or more programming languages. Source code or object code written in any combination, including object-oriented programming languages—such as Smalltalk, C++, etc., and conventional procedural programming languages—such as “C” or similar programming languages . Computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone package, partly on the user's computer and partly on a remote computer, or entirely on a remote computer. Execute on the terminal computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer via any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as by using internet service provider to connect via the internet). In some embodiments, electronic circuits, such as programmable logic circuits, field programmable gate arrays (FPGAs) or programmable logic arrays (PLAs), are customized by utilizing state information of computer readable program instructions, the Electronic circuits can execute computer-readable program instructions to implement various aspects of the present disclosure.

Aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It should be understood that each block of the flowchart and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, or other programmable data-processing device, thereby producing a machine that causes these instructions to be executed by the processor of the computer or other programmable data-processing device When, means for realizing the functions/actions specified in one or more blocks in the flowchart and/or block diagram are produced. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause a computer, a programmable data processing device and/or other equipment to operate in a specific manner, so that the computer-readable medium storing the instructions is An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks in the flowcharts and/or block diagrams is included.

It is also possible to load computer-readable program instructions into a computer, other programmable data processing device, or other equipment, so that a series of operation steps are executed on the computer, other programmable data processing device, or other equipment to produce a computer The process of implementation, so that instructions executed on computers, other programmable data processing devices, or other equipment implement the functions/actions specified in one or more blocks in the flowchart and/or block diagram.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatuses, systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of an instruction that contains one or more Executable instructions for logical functions. In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two consecutive blocks may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, can be implemented with a dedicated hardware-based computer that performs the specified function or action. system, or may be implemented with a combination of dedicated hardware and computer instructions.

The computer program product can be realized through hardware, software or a combination thereof. In an optional embodiment, the computer program product is embodied as a computer storage medium. In another optional embodiment, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK), etc. Wait.

Finally, it should be noted that: the above-mentioned embodiments are only specific implementations of the present disclosure, and are used to illustrate the technical solutions of the present disclosure, rather than limit them, and the protection scope of the present disclosure is not limited thereto, although referring to the aforementioned The embodiments have described the present disclosure in detail, and those skilled in the art should understand that any person familiar with the technical field can still modify the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present disclosure Changes can be easily imagined, or equivalent replacements can be made to some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in this disclosure. within the scope of protection. Industrial Applicability

Embodiments of the present disclosure provide an identity identification method, an electronic device, and a computer-readable storage medium, wherein the identity identification method includes: acquiring image information collected by a target image acquisition device; A target personnel database associated with the target image collection device; based on the target personnel database, matching the collected image information to determine identity information corresponding to the collected image information. The above solution can narrow the scope of image information matching based on the personnel database, reduce the amount of computation, and effectively improve the immediacy and efficiency of identification.

S11~S13: Steps 1000: configuration interface of personnel information 1001: drop down list 1002: drop down list 1003: Finish button 2000: Configuration interface of personnel information 2001: Dropdown lists 2002: Dropdown lists 2003: Done button 101: Get Part 102: Determining part 103: Match part 400: Electronic equipment 402: processing element 402 404: Memory 406: Power components 408:Multimedia components 410:Audio components 412: input/output interface 414: sensor element 416: Communication components 500: Electronic equipment 501: processing element 502: memory 503: Power components 504: Network interface 505: input and output interface

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the accompanying drawings used in the embodiments will be briefly introduced below. The accompanying drawings here are incorporated into the specification and constitute a part of the specification. These drawings The embodiments conforming to the present disclosure are shown, and together with the specification, they are used to explain the technical solution of the present disclosure. It should be understood that the following drawings only show some embodiments of the present disclosure, and therefore should not be regarded as limiting the scope. Other related drawings can be derived from these drawings.

FIG. 1 is a schematic diagram of an implementation flow of an identity identification method provided by an embodiment of the present disclosure. FIG. 2A is a schematic diagram of a personnel information configuration interface provided by an embodiment of the present disclosure. FIG. 2B is a schematic diagram of a personnel information configuration interface provided by an embodiment of the present disclosure. Fig. 3 is a schematic diagram of an identification device provided by an embodiment of the present disclosure. FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure. FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.

S11~S13: Steps

Claims (12)

A method of identification, comprising: Obtain image information collected by the target image acquisition device; Determining a target personnel database associated with the target image acquisition device from a plurality of preset personnel databases; Based on the target person database, the collected image information is matched to determine identity information corresponding to the collected image information. According to the method described in claim 1, wherein there is a first corresponding relationship between the personnel database and the geographical area, The determining the target personnel database associated with the target image acquisition device from multiple preset personnel databases includes: Acquiring deployment information of the target image acquisition device, and determining a target geographic area corresponding to the target image acquisition device based on the deployment information; Based on the first correspondence, the target personnel database corresponding to the target geographical area is determined from the plurality of personnel databases. According to the method described in claim 1 or 2, wherein there is a second corresponding relationship between the personnel database and the identification information of the image acquisition device, The determining the target personnel database associated with the target image acquisition device from multiple preset personnel databases includes: The identification information of the target image acquisition device is acquired, and based on the second correspondence, the target personnel database corresponding to the identification information of the target image acquisition device is determined from the plurality of personnel databases. The method according to claim 1 or 2, wherein the target person database includes a plurality of reference image information, and the collected image information includes person images, The matching of the collected image information based on the target personnel database, and determining the identity information corresponding to the collected image information includes: Carrying out feature extraction to described personnel image, obtains the first human face feature; Searching for first reference image information matching the first face feature in the target person database, and determining the identity information corresponding to the first reference image information as matching the collected image The identity information corresponding to the information. The method according to claim 1 or 2, wherein the target person database includes a plurality of reference image information, and the collected image information includes the second facial features, The matching of the collected image information based on the target personnel database, and determining the identity information corresponding to the collected image information includes: Searching for second reference image information matching the second face feature in the target person database, and determining the identity information corresponding to the second reference image information as matching the collected image The identity information corresponding to the information. The method according to claim 1 or 2, wherein the method further comprises: A personnel database is created according to the personnel information and the deployment information and/or identification information of the image acquisition equipment, the personnel information including the correspondence between the reference image information and the identity information of the personnel. According to the method described in claim 6, wherein the creation of a personnel database based on personnel information, deployment information and/or identification information of image acquisition equipment includes: Obtain the information of the said personnel; Responsive to the configuration operation of the personnel information, associating at least part of the personnel information in the personnel information with the identification information of one or more image acquisition devices, or with the deployment information indication of one or more image acquisition devices Geographical areas associated with; Create a personnel pool based on personnel information associated with the same identification information or the same geographic region. According to the method described in claim 1 or 2, wherein the matching of the collected image information based on the target personnel database, and determining the identity information corresponding to the collected image information includes: In the case that the target personnel database includes multiple classification databases, according to the priority order of the multiple classification databases from high to low, it is searched one by one whether there is a reference image matching the collected image information. image information until obtaining reference image information matching the collected image information; The identity information corresponding to the reference image information is determined as the identity information corresponding to the collected image information. According to the method described in Claim 8, wherein, the classification library includes one or more of a focused object library, a common object library, and an abnormal object library. The method according to claim 9, wherein, in an educational setting, the focus object library includes at least one of a teacher library and a student library; Alternatively, in a retail scenario, the focused object library includes at least one of a member library and an employee library. An electronic device, comprising: a processor and a memory for storing processor-executable instructions; wherein the processor is configured to call the instructions stored in the memory to perform any one of request items 1 to 10 the method described. A computer-readable storage medium on which computer program instructions are stored, wherein the computer program instructions implement the method described in any one of claims 1 to 10 when executed by a processor.

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