CN111476072A - Real-time passenger flow volume analysis system based on face recognition - Google Patents
Real-time passenger flow volume analysis system based on face recognition Download PDFInfo
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- CN111476072A CN111476072A CN201910069259.4A CN201910069259A CN111476072A CN 111476072 A CN111476072 A CN 111476072A CN 201910069259 A CN201910069259 A CN 201910069259A CN 111476072 A CN111476072 A CN 111476072A
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- 238000004458 analytical method Methods 0.000 title claims description 11
- 230000002093 peripheral effect Effects 0.000 claims abstract description 12
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- 238000012795 verification Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 238000010845 search algorithm Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 6
- 238000005206 flow analysis Methods 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 description 4
- 230000002354 daily effect Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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Abstract
The invention relates to the technical field of face recognition, in particular to a real-time passenger flow analysis system based on face recognition, which comprises a controller, wherein a CPU (central processing unit) mainboard is fixedly arranged in the controller, the CPU mainboard is connected with a memory and a video decoding chip, the video decoding chip is respectively connected with a timer, a video display module and a serial peripheral interface, the timer is connected with a resource manager, the serial peripheral interface is electrically connected with a camera, the CPU mainboard is connected with an RJ-45 interface fixedly arranged on the side wall of the controller, the RJ-45 interface is connected with a modem, the modem is connected with a cloud server, and the cloud server is connected with a database. According to the invention, based on the human figure contour recognition and video tracking technology, the human face data and the human figure data collected by the camera are stored in the database, and are analyzed and compared by the CPU, so that a new customer or an old customer is analyzed, and the passenger flow data is recorded.
Description
Technical Field
The invention relates to the technical field of face recognition, in particular to a real-time passenger flow volume analysis system based on face recognition.
Background
Shopping in stores has become one of the ways in which modern people live at a fast pace. The investment development of stores is an industry with fast effect but high risk and investment cost. However, with the arrival of commodity economy, many entrepreneurs see store investments, such as store sales, store rentals, and store transfers. The store needs to receive a significant amount of return, or to the extent that the store is in a busy location. The more luxurious the place, the better.
Among the prior art, shop site management, most enterprises still stop relying on the camera to look over, supervise artifical shop of patrolling, to chain enterprises, supervise, site management is more difficult, and on-the-spot supervisory equipment function is single more, only can carry out video monitoring.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a real-time passenger flow volume analysis system based on face recognition.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides a real-time passenger flow volume analytic system based on face identification, includes the controller, the inside fixed CPU mainboard that is provided with of controller, the CPU mainboard connection has memory and video decoding chip, video decoding chip has linked timer, video display module and serial peripheral hardware interface respectively, the timer is connected with the resource manager, serial peripheral hardware interface electric connection has the camera, the CPU mainboard connection has the fixed RJ-45 interface that sets up in the controller lateral wall, RJ-45 interface connection has modem, modem connection has cloud ware, cloud ware is connected with the database.
Preferably, the cameras are based on human-shaped contour recognition and video tracking technologies, and the controller can be connected to multiple cameras through a serial peripheral interface.
Preferably, the CPU board extracts the face images in the memory and the database, compares the face images with the face database in the memory, and performs face recognition on the worker.
Preferably, the face data and the human shape data collected by the camera are stored in a database, and are analyzed and compared by a CPU (Central processing Unit), so that a new customer or an old customer is analyzed, and passenger flow volume data is recorded.
Preferably, the cloud server is connected with a mobile phone through a wireless communication technology, and a management software system is compatible with the mobile phone.
Preferably, the CPU board creates a face algorithm module, the face algorithm module includes a face extraction algorithm, a face verification algorithm and a face search algorithm, and the face verification algorithm compares the face features of the picture extracted from the face with the picture collected by the face collector, and calculates the similarity.
Compared with the prior art, the invention provides a real-time passenger flow volume analysis system based on face recognition, which has the following beneficial effects:
according to the invention, the face images in the memory and the database are extracted through the CPU main board, the face database in the memory is compared, the face recognition of the staff is carried out, and the daily attendance of the staff can be carried out.
According to the invention, the human face data and the human shape data collected by the camera are stored in the database through the camera based on human shape contour recognition and video tracking technology, and are compared through CPU analysis processing, new customers or old customers are analyzed, and passenger flow volume data are recorded.
According to the invention, the cloud server is connected with the mobile phone through a wireless communication technology, the management software system is compatible in the mobile phone, remote control and monitoring can be carried out through the mobile phone, and the mobile phone management software system can display the data analysis result, so that a user can know the passenger flow volume condition every day.
Drawings
Fig. 1 is a schematic overall structural diagram of a real-time passenger flow volume analysis system based on face recognition according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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 invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Referring to fig. 1, a real-time passenger flow volume analysis system based on face recognition comprises a controller, a CPU mainboard is fixedly arranged inside the controller, the CPU mainboard is connected with a memory and a video decoding chip, the video decoding chip is respectively linked with a timer, a video display module and a serial peripheral interface, the timer is connected with a resource manager, the serial peripheral interface is electrically connected with a camera, the CPU mainboard is connected with an RJ-45 interface fixedly arranged on the side wall of the controller, the RJ-45 interface is connected with a modem, the modem is connected with a cloud server, and the cloud server is connected with a database.
The camera is based on human-shaped contour recognition and video tracking technology, and the controller can be connected to multiple cameras through a serial peripheral interface.
The CPU mainboard extracts the face images in the memory and the database, compares the face images with the face database in the memory and identifies the face of a worker.
The human face data and the human shape data collected by the camera are stored in a database, and are analyzed and processed by the CPU to be compared, so that a new customer or an old customer is analyzed, and the passenger flow data is recorded.
The cloud server is connected with a mobile phone through a wireless communication technology, and a management software system is compatible in the mobile phone.
The CPU mainboard is provided with a face algorithm module, the face algorithm module comprises a face extraction algorithm, a face verification algorithm and a face search algorithm, the face verification algorithm compares the face characteristics of the pictures extracted by the face and the pictures collected by the face collector, and the similarity is calculated.
When the invention is used, the camera collects a face image and a human-shaped image, the face image and the human-shaped image are accessed to a serial peripheral interface on a controller, a video decoding chip converts the format, a video display module can display a monitoring video, the decoded data is analyzed and processed by a CPU (central processing unit), the face image of a worker is stored in a memory, the face data and the human-shaped data of a customer are stored in a database in a cloud server by an RJ-45 and a modem, a timer is triggered, a resource manager carries out data management, a CPU (central processing unit) face algorithm module is triggered by the timer and the video decoding chip, the face images in the memory and the database are extracted by a CPU (central processing unit) mainboard, a face library in the memory is compared, the face recognition of the worker is carried out, the daily attendance check of the worker can be carried out, and the camera is based on human-, the human face data and the human shape data collected by the camera are stored in a database, and are analyzed and processed by a CPU for comparison, so that a new customer or an old customer is analyzed, and passenger flow volume data is recorded; the cloud server is connected with the mobile phone through a wireless communication technology, the management software system is compatible in the mobile phone, remote control and monitoring can be carried out through the mobile phone, and the mobile phone management software system can display the data analysis result, so that a user can know the passenger flow volume condition every day.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The real-time passenger flow volume analysis system based on face recognition comprises a controller and is characterized in that a CPU mainboard is fixedly arranged inside the controller, the CPU mainboard is connected with a storage and a video decoding chip, the video decoding chip is respectively connected with a timer, a video display module and a serial peripheral interface, the timer is connected with a resource manager, the serial peripheral interface is electrically connected with a camera, the CPU mainboard is connected with an RJ-45 interface fixedly arranged on the side wall of the controller, the RJ-45 interface is connected with a modem, the modem is connected with a cloud server, and the cloud server is connected with a database.
2. The system of claim 1, wherein the camera is based on human-shaped contour recognition and video tracking technology, and the controller can access multiple cameras through a serial peripheral interface.
3. The system of claim 1, wherein the CPU board extracts the face images in the memory and the database, compares the face images in the memory with the face image in the database, and performs face recognition on the workers.
4. The system of claim 1, wherein the face data and the human shape data collected by the camera are stored in a database, and compared by the CPU, and analyzed to be a new customer or an old customer, and the passenger flow data is recorded.
5. The real-time passenger flow volume analysis system based on face recognition as claimed in claim 1, wherein the cloud server is connected to a mobile phone through a wireless communication technology, and a management software system is compatible with the mobile phone.
6. The real-time passenger flow volume analysis system based on face recognition as claimed in claim 1, wherein the CPU board creates a face algorithm module, the face algorithm module includes a face extraction algorithm, a face verification algorithm and a face search algorithm, the face verification algorithm compares the face features of the extracted picture of the face with the picture collected by the face collector, and calculates the similarity.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910069259.4A CN111476072A (en) | 2019-01-24 | 2019-01-24 | Real-time passenger flow volume analysis system based on face recognition |
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| CN201910069259.4A CN111476072A (en) | 2019-01-24 | 2019-01-24 | Real-time passenger flow volume analysis system based on face recognition |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622588A (en) * | 2012-03-08 | 2012-08-01 | 无锡数字奥森科技有限公司 | Dual-certification face anti-counterfeit method and device |
| CN103678984A (en) * | 2013-12-20 | 2014-03-26 | 湖北微模式科技发展有限公司 | Method for achieving user authentication by utilizing camera |
| CN104732601A (en) * | 2014-11-19 | 2015-06-24 | 东北大学 | Automatic high-recognition-rate attendance checking device and method based on face recognition technology |
| CN105574497A (en) * | 2015-12-15 | 2016-05-11 | 重庆凯泽科技有限公司 | Mall people counting system and counting method based on face detection |
| CN105771168A (en) * | 2014-12-26 | 2016-07-20 | 北京慧动众人科技有限公司 | Face recognition technology based intelligent running machine and control method |
| CN106647502A (en) * | 2016-12-27 | 2017-05-10 | 天津天地伟业信息系统集成有限公司 | Face identification monitoring retrieval system |
| CN108062682A (en) * | 2017-12-06 | 2018-05-22 | 深圳市猫投鹰信息科技有限公司 | A kind of membership management system and method based on recognition of face |
| CN108109044A (en) * | 2017-12-26 | 2018-06-01 | 南京开为网络科技有限公司 | A kind of intelligence retail crm system |
| CN108805111A (en) * | 2018-09-07 | 2018-11-13 | 杭州善贾科技有限公司 | A kind of detection of passenger flow system and its detection method based on recognition of face |
-
2019
- 2019-01-24 CN CN201910069259.4A patent/CN111476072A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622588A (en) * | 2012-03-08 | 2012-08-01 | 无锡数字奥森科技有限公司 | Dual-certification face anti-counterfeit method and device |
| CN103678984A (en) * | 2013-12-20 | 2014-03-26 | 湖北微模式科技发展有限公司 | Method for achieving user authentication by utilizing camera |
| CN104732601A (en) * | 2014-11-19 | 2015-06-24 | 东北大学 | Automatic high-recognition-rate attendance checking device and method based on face recognition technology |
| CN105771168A (en) * | 2014-12-26 | 2016-07-20 | 北京慧动众人科技有限公司 | Face recognition technology based intelligent running machine and control method |
| CN105574497A (en) * | 2015-12-15 | 2016-05-11 | 重庆凯泽科技有限公司 | Mall people counting system and counting method based on face detection |
| CN106647502A (en) * | 2016-12-27 | 2017-05-10 | 天津天地伟业信息系统集成有限公司 | Face identification monitoring retrieval system |
| CN108062682A (en) * | 2017-12-06 | 2018-05-22 | 深圳市猫投鹰信息科技有限公司 | A kind of membership management system and method based on recognition of face |
| CN108109044A (en) * | 2017-12-26 | 2018-06-01 | 南京开为网络科技有限公司 | A kind of intelligence retail crm system |
| CN108805111A (en) * | 2018-09-07 | 2018-11-13 | 杭州善贾科技有限公司 | A kind of detection of passenger flow system and its detection method based on recognition of face |
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