CN113822213A - Driving safety monitoring method and system - Google Patents
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Abstract
The application relates to the technical field of information processing of safety monitoring equipment, in particular to a driving safety monitoring method, which aims to solve the problem that the prior art is difficult to help driving safety, and the technical scheme is the driving safety monitoring method which comprises the following steps: acquiring behavior detection data of a driver, wherein the behavior detection data at least comprises facial image data of the driver; extracting a facial dynamic feature of the driver based on the facial image data; fitting and matching the facial dynamic features with an abnormal behavior template in a preset interference behavior database; and if the target abnormal behavior templates matched with the facial dynamic features exist in the disturbance behavior databases, recording abnormal behavior data corresponding to the target abnormal behavior templates and sending the abnormal behavior data to the management terminal.
Description
Technical Field
The present application relates to the field of information processing technology for safety monitoring devices, and in particular, to a driving safety monitoring method and system.
Background
The network taxi appointment, namely the short name of the network taxi appointment service, refers to the operation activities of establishing a service platform by relying on the internet technology, accessing vehicles and drivers meeting the requirements of passengers, and providing non-cruise taxi appointment service by integrating supply and demand information.
With the development of new-generation information technology, the online taxi appointment service is gradually popularized compared with the traditional taxi which is parked immediately due to convenience. But the net appointment vehicle brings great convenience for the user to go out, and meanwhile, has many potential safety hazards.
At present, in order to improve the safety of the network car booking, corresponding equipment such as a vehicle data recorder is generally arranged on the network car booking to record the passenger carrying driving condition in the network car booking, and further improve the safety of the network car booking service.
In the process of implementing the present application, the inventors found that the above-mentioned technology has at least the following problems:
the vehicle event data recorder on net car of appointment can carry out the record to the condition that net car of appointment driver carried passenger to drive, but if the driving in-process takes place the condition that driver's action is irregular, the vehicle event data recorder that only has record function is difficult to provide effectual help, is difficult to play the helping effect to driving safety.
Disclosure of Invention
In order to reduce the non-standard behaviors of a driver in the process of carrying passengers and driving vehicles and improve the safety of network appointment, the application provides a driving safety monitoring method and a driving safety monitoring system.
In a first aspect, the driving safety monitoring method provided by the application adopts the following technical scheme:
a driving safety monitoring method comprises the following steps:
acquiring behavior detection data of a driver, wherein the behavior detection data at least comprises facial image data of the driver;
extracting a facial dynamic feature of the driver based on the facial image data;
fitting and matching the facial dynamic features with an abnormal behavior template in a preset interference behavior database;
and if the target abnormal behavior template matched with the facial dynamic characteristics exists in the interference behavior database, recording abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to the management terminal.
By adopting the technical scheme, the behavior detection data of the network car booking driver in the process of carrying passengers to drive is obtained, various behavior behaviors of the driver in the process of driving can be known through analysis of the behavior detection data, the management terminal is further facilitated to monitor the driving behavior of the driver, the alertness of the driver in the driving process is facilitated to be improved, the management terminal is facilitated to know the concentration degree of the attention of the driver through extraction and analysis of the dynamic characteristics of the face, when the behavior of the driver is abnormal, the concentration degree of the driver in the driving process is further improved by recording the abnormal behavior of the driver, the driving standard of the driver is facilitated to be urged, the order of the network car booking is completed in a concentrated manner, and the effect of improving the safety of the network car booking is achieved.
Optionally, after acquiring the behavior detection data of the driver, the method further includes:
matching identity information of a driver in a preset driver database based on the facial image data;
if the driver database does not have a matching result corresponding to the face image data, alarm information is sent to a management terminal;
and after the management terminal receives the alarm information, the vehicle terminal is suspended from receiving the order.
Through adopting above-mentioned technical scheme, before the driver starts the vehicle terminal of net car of making an appointment, discern and judge the driver's of net car of making an appointment identity, avoided having non-professional net car driver's personnel to impersonate net car driver and accomplish the order, and then help standardizing net car of making an appointment ground navigating mate, improved the standardization of net car driver management, further improved the security of net car of making an appointment.
Optionally, before recording the abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to the management terminal, the method further includes:
acquiring positioning data of a vehicle, and acquiring an operating state of the vehicle based on the positioning data of the vehicle, wherein the operating state is one of driving and parking;
and if the running state of the vehicle is parking, ignoring the abnormal behavior data.
By adopting the technical scheme, when the vehicle is in a parking state, namely is not in a driving state, the collected abnormal behavior of the driver is ignored, the phenomenon that the wrong abnormal record of the driver is caused by the misinformation of the action of the driver when the vehicle stops is avoided, and when the vehicle is in a driving state, the abnormal behavior data is not ignored, so that the monitoring of the safety behavior standard of the driver is favorably kept in the necessary driving process of the vehicle.
Optionally, the method further includes:
the vehicle terminal acquires order ending information and sends the order ending information to the management terminal;
after receiving the order ending information, the management terminal acquires all abnormal behavior data of the target driver from the starting time to the ending time of the order and generates an abnormal driving behavior list;
and the management terminal sends the abnormal driving behavior list to the vehicle terminal.
By adopting the technical scheme, the driver can be shown the abnormal behavior of the driver in the order driving process after the order is completed, the driver can be helped to know the defects of the driver in the safety standard in the driving process, the driver can be helped to standard the driving habit, and the safety of the online taxi appointment is improved.
Optionally, after receiving the order ending information, the managing terminal obtains all abnormal behavior data of the target driver from the starting time to the ending time of the order, and generates the abnormal driving behavior list, further including:
deducting the driving behavior score of the target driver based on a preset score corresponding to the abnormal behavior data;
ranking the drivers based on the scores of the driving behavior scores of the target drivers;
and if a plurality of drivers to be selected meet the order receiving requirement of the target order, distributing the target order to the drivers to be selected with high priority based on the grades of the drivers to be selected.
By adopting the technical scheme, when abnormal behaviors violating safe driving regulations appear in the driving process of a driver, the driving behaviors of the driver are deducted, so that the emphasis of the driver on the safe driving regulations is strengthened through a reward and punishment system, and the safety of network taxi booking is improved; after deducting the driving behaviors of the driver, grading the driver according to the driving behaviors, and performing priority allocation of the order according to the grading, so that the driver is stimulated to improve the safety driving standard degree, and the safety of the online taxi appointment is further improved.
Optionally, the method further includes:
and if the driving behavior score of the target driver is lower than a preset behavior score threshold value, suspending the target driver from receiving the order.
By adopting the technical scheme, when the driver has serious problems in the safety standard, the driver is prevented from continuing to receive orders, the possibility of poor order receiving of the driver in the safety driving standard execution is further reduced, the integral quality of the driver is improved, and the safety of the network taxi reservation is improved.
In a second aspect, the present application provides a driving safety monitoring system, which adopts the following technical scheme:
a driving safety monitoring system, the system comprising:
the data acquisition module is used for acquiring behavior detection data of the driver, and the behavior detection data at least comprises facial image data of the driver;
the dynamic extraction module is used for extracting the dynamic facial features of the driver based on the facial image data;
the behavior matching module is used for matching the facial dynamic characteristics with an abnormal behavior template in a preset interference behavior database in a fitting manner;
and the abnormal alarm module is used for recording abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to the management terminal if the target abnormal behavior template matched with the facial dynamic characteristics exists in the interference behavior database.
By adopting the technical scheme, the behavior detection data of the network car booking driver in the process of carrying passengers to drive is obtained, various behavior behaviors of the driver in the process of driving can be known through analysis of the behavior detection data, the management terminal is further facilitated to monitor the driving behavior of the driver, the alertness of the driver in the driving process is facilitated to be improved, the management terminal is facilitated to know the concentration degree of the attention of the driver through extraction and analysis of the dynamic characteristics of the face, when the behavior of the driver is abnormal, the concentration degree of the driver in the driving process is further improved by recording the abnormal behavior of the driver, the driving standard of the driver is facilitated to be urged, the order of the network car booking is completed in a concentrated manner, and the effect of improving the safety of the network car booking is achieved.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal, comprising a processor and a memory, wherein at least one instruction, at least one program, a code set, or an instruction set is stored in the memory, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement a driving safety monitoring method according to any one of the first aspect.
By adopting the technical scheme, the processor in the intelligent terminal can realize the driving safety monitoring method according to the related computer program stored in the memory, so that the non-standard behaviors of a driver in the process of carrying passengers and driving are reduced, and the safety of network appointment is improved.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement a method of driving safety monitoring according to any one of the first aspect.
By adopting the technical scheme, the corresponding program can be stored, so that the nonstandard behaviors of the driver in the process of carrying passengers and driving the vehicle are reduced, and the safety of the network appointment is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
the method comprises the steps that behavior detection data of a network car booking driver in the process of carrying passengers and driving a car are obtained, various behavior behaviors of the driver in the process of driving the car can be obtained through analysis of the behavior detection data, the management terminal is further facilitated to monitor the driving behavior of the driver, the alertness of the driver in the driving process is facilitated to be improved, the management terminal is facilitated to know the concentration degree of the attention of the driver through extraction and analysis of dynamic characteristics of the face, when the behavior of the driver is abnormal, the concentration degree of the driver in the driving process is further facilitated to be improved by recording the abnormal behavior of the driver, the driver is facilitated to be supervised and urged to complete an order of the network car booking with safety in a concentrated mode, and the effect of improving the safety of the network car booking is achieved;
when the vehicle is in a parking state, namely not in a driving state, the collected abnormal behavior of the driver is ignored, so that the phenomenon that the wrong abnormal record of the driver is caused by the misinformation of the action of the driver when the vehicle stops is avoided, and when the vehicle is in a driving state, the abnormal behavior data is not ignored, so that the monitoring of the safety behavior standard of the driver is favorably kept in the necessary driving process of the vehicle;
when the driver has abnormal behavior violating the safe driving standard in the driving process, the driving behavior of the driver is deducted, so that the attention of the driver to the safe driving standard is strengthened through a reward and punishment system, and the safety of network taxi booking is improved; after deducting the driving behaviors of the driver, grading the driver according to the driving behaviors, and performing priority allocation of the order according to the grading, so that the driver is stimulated to improve the safety driving standard degree, and the safety of the online taxi appointment is further improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is an architecture diagram of a driving safety monitoring system shown in an embodiment of the present application;
fig. 2 is a flowchart of a method for monitoring driving safety shown in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an intelligent terminal shown in an embodiment of the present application.
Detailed Description
The present embodiments are only illustrative and not restrictive, and those skilled in the art can make modifications to the embodiments without inventive contribution as required after reading the present specification, but the technical solutions in the embodiments of the present application will be described clearly and completely in the following claims with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present application is further described in detail with reference to fig. 1-3.
The embodiment of the application provides a driving safety monitoring method, which can be applied to a driving safety monitoring system, wherein an execution main body can be a vehicle terminal and is assisted by a user terminal and a management terminal. As shown in fig. 1. The driving safety monitoring system comprises a vehicle terminal, wherein the vehicle terminal is used for acquiring and monitoring images of a driver in the networked car appointment, the driving of the driver is identified through the images, the vehicle terminal sends behavior detection data to the management terminal after acquiring the behavior detection data of the driver, and then supervision of the behavior of the driver in the networked car appointment is realized under assistance of the management terminal.
The process flow shown in fig. 2 will be described in detail below with reference to the specific embodiments, and the contents may be as follows:
Wherein the behavior detection data includes at least facial image data of the driver.
In practice, the vehicle terminal may detect the behavior of the driver of the vehicle through a number of auxiliary devices mounted inside the vehicle. For example: the facial image data of a driver is acquired through the built-in automobile data recorder; and acquiring an audio signal and the like in the vehicle through the audio acquisition device. The present embodiment takes processing and analysis of facial image data as an example for explanation, and other situations are similar and will not be described again.
In one embodiment, since the network car booking driver usually needs to perform the authentication of driving qualification to take the order for passenger carrying, the following process can be performed after step 201: matching identity information of a driver in a preset driver database based on the facial image data; if the driver database does not have a matching result corresponding to the face image data, alarm information is sent to a management terminal; and after the management terminal receives the alarm information, the vehicle terminal is suspended from receiving the order.
In implementation, after the vehicle terminal acquires the facial image data of the driver, the vehicle terminal can perform facial recognition processing on the facial image data to acquire feature points of a plurality of parts in the facial image data, a feature point group formed by feature points around the same part can describe a facial feature together, after all the facial features in the same facial image data are extracted, all the facial features are matched and retrieved with the identity information of the driver in a driver database, wherein the identity information of the driver pre-stored in the driver database includes personal basic information of the driver and the facial features of the driver.
At the moment, when the vehicle terminal is matched with the identity information of the current driver in the driver database, the network appointment vehicle normally runs and starts; and when the driver database does not have a matching result corresponding to the face image data, sending alarm information to the management terminal, wherein the alarm information comprises the vehicle information of the current network appointment, so that the management terminal can limit the network appointment of which the driver does not belong to the driver database.
Therefore, before the network car booking takes over the passenger carrying service, a link of authentication unlocking is added to the driver, the possibility of the network car booking driver being impersonated is further reduced, and the security of the network car booking is improved.
And step 202, extracting the dynamic facial features of the driver based on the facial image data.
In implementation, after the vehicle terminal acquires the face image data, the face image data may be subjected to dynamic feature extraction. Specifically, feature points representing the parts of each facial organ in the facial image data may be labeled, and after the feature points are labeled, the change in spatial position between the same feature points in adjacent time intervals may be compared according to a preset time interval, and then the vector data of the movement of the feature points plus the corresponding feature points are used as the facial dynamic features. In order to eliminate the influence of slight movements of the driver on the facial dynamic feature extraction, a corresponding movement intensity threshold may be set during the dynamic feature extraction, and facial dynamic features with movement intensity lower than the movement intensity threshold may be eliminated.
Therefore, the vehicle terminal can acquire accurate ground dynamic characteristics, and the accuracy of driver abnormal behavior identification is improved.
And step 203, fitting and matching the facial dynamic features with an abnormal behavior template in a preset interference behavior database.
In the implementation, an interference behavior database is stored in the vehicle terminal, a plurality of abnormal behavior templates are stored in the interference behavior database, the abnormal behavior templates correspond to the facial dynamic features, that is, the abnormal behavior templates may include designated feature points and corresponding vector data when the feature points move. For example, the following steps are carried out: the abnormal behavior template can be a feature point around the eyes, and the feature points at the upper eyelid and the lower eyelid move close to each other when the eyes are closed are taken as vector data, so that the frequent eye closing of a driver during driving is represented, and the possibility of fatigue driving of the driver is represented.
In implementation, the face dynamic features may not be completely consistent with the abnormal behavior template, so that the fitting degree between the face dynamic features and the abnormal behavior template may be calculated, and when the fitting degree exceeds a preset fitting threshold, it may be considered that the current face dynamic features may match the current abnormal behavior template.
In one embodiment, since the abnormal operation of the driver only threatens the safety of the vehicle when driving, step 204 may be preceded by the following steps: acquiring positioning data of a vehicle, and acquiring an operating state of the vehicle based on the positioning data of the vehicle, wherein the operating state is one of driving and parking; and if the running state of the vehicle is parking, ignoring the abnormal behavior data.
In implementation, the vehicle terminal can acquire the real-time position of the network car booking through the GPS positioning system, so that the moving speed of the network car booking can be judged, when the network car booking is in a moving state, the vehicle terminal continuously receives the abnormal behavior data, and when the network car booking is in a parking state, the vehicle terminal ignores the abnormal behavior data.
Therefore, the false alarm of abnormal behaviors of the driver when the network taxi appointment is stopped is avoided, and the stability of the safety supervision system is improved.
And 204, if a target abnormal behavior template matched with the facial dynamic characteristics exists in the interference behavior database, recording abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to a management terminal.
In implementation, after the vehicle terminal acquires the abnormal behavior template matched with the facial dynamic features, the abnormal behavior data corresponding to the abnormal behavior template can be sent to the management terminal for recording and processing. Specifically, when the driver is tired, an alarm is sent to the vehicle terminal to remotely prompt the driver to pay attention.
Thus, the safety of the net appointment vehicle is improved.
In one embodiment, in order to enhance the handling of the abnormal behavior of the network appointment, the following process may be performed after step 204: the vehicle terminal acquires order ending information and sends the order ending information to the management terminal; after receiving the order ending information, the management terminal acquires all abnormal behavior data of the target driver from the starting time to the ending time of the order and generates an abnormal driving behavior list; and the management terminal sends the abnormal driving behavior list to the vehicle terminal.
Therefore, all abnormal behaviors of the current driver in the completion process of the previous order can be displayed in the abnormal driving list, so that the driver is assisted to improve, and the safety of the online taxi appointment is improved.
In one embodiment, step 204 may be followed by the following steps: deducting the driving behavior score of the target driver based on a preset score corresponding to the abnormal behavior data; ranking the drivers based on the scores of the driving behavior scores of the target drivers; if a plurality of drivers to be selected meet the order receiving requirement of the target order, distributing the target order to the drivers to be selected with high priority based on the classification of the drivers to be selected; and if the driving behavior score of the target driver is lower than a preset behavior score threshold value, suspending the target driver from receiving the order.
In implementation, different abnormal behaviors may have different scores set according to the risk degree thereof, and the score corresponding to an abnormal behavior with higher risk is higher.
Therefore, the driver can be further encouraged to comply with the safety regulations, and the safety of the net appointment can be further improved.
Based on the same technical concept, the embodiment of the invention also provides a driving safety monitoring system, which comprises:
the data acquisition module is used for acquiring behavior detection data of the driver, and the behavior detection data at least comprises facial image data of the driver;
the dynamic extraction module is used for extracting the dynamic facial features of the driver based on the facial image data;
the behavior matching module is used for matching the facial dynamic characteristics with an abnormal behavior template in a preset interference behavior database in a fitting manner;
and the abnormal alarm module is used for recording abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to the management terminal if the target abnormal behavior template matched with the facial dynamic characteristics exists in the interference behavior database.
Optionally, the system further comprises:
the identity matching module is used for matching identity information of the driver in a preset driver database based on the facial image data;
the identity abnormity warning module is used for sending warning information to a management terminal if no matching result corresponding to the face image data exists in the driver database;
and the order interception module is used for suspending the vehicle terminal to receive the order after the management terminal receives the alarm information.
Optionally, the system further comprises:
the vehicle state identification module is used for acquiring positioning data of a vehicle and acquiring the running state of the vehicle based on the positioning data of the vehicle, wherein the running state is one of running and parking;
and the false alarm prevention module is used for ignoring the abnormal behavior data if the running state of the vehicle is stationary.
Optionally, the system further comprises:
the completion confirmation module is used for the vehicle terminal to acquire order completion information and send the order completion information to the management terminal;
the abnormal summary module is used for acquiring all abnormal behavior data of a target driver from the starting time to the ending time of the order after the management terminal receives the order ending information and generating an abnormal driving behavior list;
and the sending module is used for sending the abnormal driving behavior list to the vehicle terminal by the management terminal.
Optionally, the system further comprises a scoring module:
the system is used for deducting the driving behavior score of the target driver based on the preset score corresponding to the abnormal behavior data; ranking the drivers based on the scores of the driving behavior scores of the target drivers; if a plurality of drivers to be selected meet the order receiving requirement of the target order, distributing the target order to the drivers to be selected with high priority based on the classification of the drivers to be selected; and if the driving behavior score of the target driver is lower than a preset behavior score threshold value, suspending the target driver from receiving the order.
The embodiment of the application also discloses an intelligent terminal, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the driving safety monitoring method.
Based on the same technical concept, the embodiment of the present application further discloses a computer-readable storage medium, which includes various steps that can be implemented in the flow of the driving safety monitoring method when being loaded and executed by the processor.
The computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is clear to those skilled in the art that, for convenience and simplicity of description, only the division of the above functional modules is used for illustration, and in practical applications, the above function distribution can be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions, and the specific working processes of the above described systems, apparatuses and units can refer to the corresponding processes in the foregoing method embodiments, which are not described herein again,
in the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and exemplary, hardware or cell partitions may be merely a logical division, and in actual implementation, there may be other partitions, for example, multiple cells or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The above embodiments are only used to describe the technical solutions of the present application in detail, but the above embodiments are only used to help understanding the method and the core idea of the present application, and should not be construed as limiting the present application. Those skilled in the art should also appreciate that various modifications and substitutions can be made without departing from the scope of the present disclosure.
Claims (9)
1. A driving safety monitoring method is characterized in that: the method comprises the following steps:
acquiring behavior detection data of a driver, wherein the behavior detection data at least comprises facial image data of the driver;
extracting a facial dynamic feature of the driver based on the facial image data;
fitting and matching the facial dynamic features with an abnormal behavior template in a preset interference behavior database;
and if the target abnormal behavior template matched with the facial dynamic characteristics exists in the interference behavior database, recording abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to the management terminal.
2. A driving safety monitoring method according to claim 1, characterized in that: after the behavior detection data of the driver is obtained, the method further comprises the following steps:
matching identity information of a driver in a preset driver database based on the facial image data;
if the driver database does not have a matching result corresponding to the face image data, alarm information is sent to a management terminal;
and after the management terminal receives the alarm information, the vehicle terminal is suspended from receiving the order.
3. A driving safety monitoring method according to claim 1, characterized in that: before recording abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to the management terminal, the method further comprises the following steps:
acquiring positioning data of a vehicle, and acquiring an operating state of the vehicle based on the positioning data of the vehicle, wherein the operating state is one of driving and parking;
and if the running state of the vehicle is parking, ignoring the abnormal behavior data.
4. A driving safety monitoring method according to claim 1, wherein the method further comprises:
the vehicle terminal acquires order ending information and sends the order ending information to the management terminal;
after receiving the order ending information, the management terminal acquires all abnormal behavior data of the target driver from the starting time to the ending time of the order and generates an abnormal driving behavior list;
and the management terminal sends the abnormal driving behavior list to the vehicle terminal.
5. A driving safety monitoring method according to claim 4, characterized in that: after receiving the order ending information, the management terminal acquires all abnormal behavior data of the target driver from the starting time to the ending time of the order, and after generating an abnormal driving behavior list, the management terminal further comprises:
deducting the driving behavior score of the target driver based on a preset score corresponding to the abnormal behavior data;
ranking the drivers based on the scores of the driving behavior scores of the target drivers;
and if a plurality of drivers to be selected meet the order receiving requirement of the target order, distributing the target order to the drivers to be selected with high priority based on the grades of the drivers to be selected.
6. A driving safety monitoring method according to claim 5, characterized in that: the method further comprises the following steps:
and if the driving behavior score of the target driver is lower than a preset behavior score threshold value, suspending the target driver from receiving the order.
7. A driving safety monitoring system, the system comprising:
the data acquisition module is used for acquiring behavior detection data of the driver, and the behavior detection data at least comprises facial image data of the driver;
the dynamic extraction module is used for extracting the dynamic facial features of the driver based on the facial image data;
the behavior matching module is used for matching the facial dynamic characteristics with an abnormal behavior template in a preset interference behavior database in a fitting manner;
and the abnormal alarm module is used for recording abnormal behavior data corresponding to the target abnormal behavior template and sending the abnormal behavior data to the management terminal if the target abnormal behavior template matched with the facial dynamic characteristics exists in the interference behavior database.
8. An intelligent terminal, characterized in that the intelligent terminal comprises a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement a driving safety monitoring method according to any one of claims 1 to 6.
9. A computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement a driving safety monitoring method according to any one of claims 1 to 6.
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