CN111259799A - Name list early warning system based on face recognition camera - Google Patents
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- CN111259799A CN111259799A CN202010048532.8A CN202010048532A CN111259799A CN 111259799 A CN111259799 A CN 111259799A CN 202010048532 A CN202010048532 A CN 202010048532A CN 111259799 A CN111259799 A CN 111259799A
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- 238000012544 monitoring process Methods 0.000 abstract description 14
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- 238000005516 engineering process Methods 0.000 description 2
- 230000001939 inductive effect Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses a list early warning system based on a face recognition camera, which comprises a face acquisition module, a face recognition module, an information matching module and a notification pushing module, wherein the face acquisition module is connected with the face recognition module, the face recognition module is connected with the information matching module, and the information matching module is connected with the notification pushing module. The invention aims to realize active grabbing, automatic identification and real-time automatic notification of a system to a list face based on a face recognition camera in the aspect of campus security monitoring, realize automation of campus security monitoring, improve monitoring and notification efficiency and save school human resources.
Description
Technical Field
The invention relates to the technical field of intelligent campus security, in particular to a list early warning system based on a face recognition camera.
Background
With the rapid development of technologies, an information campus security system based on the internet of things technology is gradually emerging. Monitoring is an important branch of the security field, requires a large amount of manpower for monitoring, and cannot automatically identify and automatically notify defense. The system causes great waste to human resources, and brings great pressure to security and protection manpower of smaller schools. Therefore, how to realize automatic monitoring and automatic notification in campus security is an important problem of improving security monitoring quality and saving human resource cost.
Disclosure of Invention
The invention aims to realize active grabbing, automatic identification and real-time automatic notification of a system to a list face based on a face recognition camera in the aspect of campus security monitoring, realize automation of campus security monitoring, improve monitoring and notification efficiency and save school human resources.
In order to achieve the purpose, the invention provides the following technical scheme: a list early warning system based on a face recognition camera comprises a face acquisition module, a face recognition module, an information matching module and a notification pushing module, wherein the face acquisition module is connected with the face recognition module, the face recognition module is connected with the information matching module, and the information matching module is connected with the notification pushing module.
The face acquisition module: the system comprises a plurality of high-definition cameras, acquires faces of specific scenes according to autonomous configuration of the cameras which are installed in school, and transmits the acquired face image information to a face recognition module through an HTTP or FTP protocol.
The face recognition module: the face image matching module is used for receiving face image information sent by the face acquisition module, comparing the face image with a pre-recorded list base, acquiring a face base with the highest similarity to the face image, and sending the face image information and the face base information to the information matching module.
The information matching module: the system is used for receiving the face image information and the face bottom library information, matching the face image information and the face bottom library information in the recorded list data to obtain name information and danger levels corresponding to the face information, recording matching results into an identification record of a background management system, and feeding back the matching results to a corresponding notification pushing module.
The notification push module: and the system is used for receiving the name information, time and place, corresponding danger level and the face image information, recording the superposed information into a list record of a background management system, and pushing the superposed information to a preset responsible person in real time.
Preferably, the high-definition camera is arranged in a gate and a key area required by a school.
Preferably, the high-definition camera supports 24 face detection per frame, has storage and retransmission functions, can store the acquired face images when the school network is not good or the school network is disconnected, and retransmits the face images to the face recognition module when the school network is good.
Preferably, the system further comprises a list information input module connected with the information matching module, wherein the information input module adds name information, identification numbers, danger levels, descriptions, household addresses and face pictures in a list library.
Preferably, the list library is divided into a public list library and a school list library, the public list library is derived from published dangerous personnel, and the school list library is established by autonomous addition of schools.
Compared with the prior art, the invention has the following beneficial effects: the invention provides a list early warning system based on a face recognition camera, which is different from other existing security monitoring systems in that: on the basis of a face recognition camera, a list personnel information base is constructed by utilizing big data, and the captured face is compared with a list, so that the non-inductive monitoring and real-time notification of dangerous personnel are realized. And to some extent can help capture action information of dangerous personnel. The whole process is unattended, can be monitored in all weather, and is not disturbed or conflicted. The help school enriches the cost that reduces the school when current security protection control, and the manpower resources that significantly reduces occupy improves school's safety precaution.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
fig. 2 is a flow chart of the recognition process of the face recognition module of the present invention.
In the figure: 100-a face acquisition module, 200-a face recognition module, 300-an information matching module, 400-an information input module and 500-a notification pushing module.
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.
Referring to fig. 1 to 2, the present invention provides a technical solution: as shown in fig. 1, an embodiment of the present invention provides a list early warning system based on a face recognition camera, where the system includes: the system comprises a face acquisition module 100, a face recognition module 200, an information matching module 300 and a notification pushing module 500.
The face acquisition module is connected with the face recognition module, the face recognition module is connected with the information matching module, and the information matching module is connected with the notification pushing module; the main functions of each module are as follows:
the face acquisition module 100 is composed of a plurality of high-definition cameras, acquires faces of specific scenes according to autonomous configuration of the cameras which are installed in school, and transmits acquired face image information to the face recognition module through an HTTP or FTP protocol;
the face recognition module 200 receives the face image information sent by the face acquisition module 100, compares the face image with a pre-entered school name list library and a public list library to obtain a face base library with the highest similarity to the face image, and sends the face image information and the face base library information to the information matching module 300;
the information matching module 300 receives the face image information and the face base information, matches the face image information and the face base information in the recorded list data to obtain name information, danger levels and the like corresponding to the face information, records matching results into an identification record of a background management system, and feeds the matching results back to the corresponding notification pushing module 500;
the notification pushing module 500 receives the name information, the time and the location, the corresponding danger level and the face image information, records the superimposed information in a list record of a background management system, and pushes the superimposed information to a preset responsible person in real time.
The name list early warning system based on the face recognition camera further comprises a name list information input module 400 connected with the information matching module;
the information input module 400 includes adding name information, identification number, danger level, description, household address, face picture, etc. in the school/public list
Furthermore, according to the name list early warning system based on the face recognition camera, the camera can be arranged in a gate and other key areas required by schools and can be shared with a face recognition attendance system.
Furthermore, the high-definition camera supports 24 face detection per frame, has storage and retransmission functions, can store the collected face images when the school network is not good or the school network is disconnected, and retransmits the face images to the face recognition module when the school network is good.
Furthermore, in order to enable the list to monitor the threat personnel more properly, the list library is divided into a public list library and a school list library, the public list library is derived from published dangerous personnel, and the school list library is established by self addition of schools.
The identification process of the school name list library and the public name list library of the face identification module 200 provided by the embodiment of the invention is shown in fig. 2:
step 201: receiving a face image sent by the face acquisition module 100;
step 202: entering a face recognition algorithm model, comparing the uploaded face image with a list face library input by a school, and calculating the similarity;
for example: if the human face bottom library set contains 100 human face images, comparing the collected human face images with the 100 human face images in the bottom library set, and calculating 100 similarity degrees;
step 203: judging whether the calculated highest similarity is smaller than a preset threshold value or not; if the value is larger than or equal to the threshold value, entering a step 206, otherwise, executing a step 204;
the preset threshold value can be set in the information entry module 400, and can be 0.7, 0.8, 0.9, and the like, and is specifically set according to actual requirements;
step 204: entering a face recognition algorithm model, comparing the uploaded face image with a public list face library, and calculating the similarity;
step 205: judging whether the calculated highest similarity is smaller than a preset threshold value or not; if the value is larger than or equal to the threshold value, the step 206 is entered, otherwise, the operation is ended;
step 206: the recognition result is pushed to the information matching module 300.
The invention provides a list early warning system based on a face recognition camera, which is different from other existing security monitoring systems in that: on the basis of a face recognition camera, a list personnel information base is constructed by utilizing big data, and the captured face is compared with a list, so that the non-inductive monitoring and real-time notification of dangerous personnel are realized. And to some extent can help capture action information of dangerous personnel. The whole process is unattended, can be monitored in all weather, and is not disturbed or conflicted. The help school enriches the cost that reduces the school when current security protection control, and the manpower resources that significantly reduces occupy improves school's safety precaution.
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 (5)
1. The utility model provides a list early warning system based on face identification camera which characterized in that: the system comprises a face acquisition module (100), a face recognition module (200), an information matching module (300) and a notification pushing module (500), wherein the face acquisition module (100) is connected with the face recognition module (200), the face recognition module (200) is connected with the information matching module (300), and the information matching module (300) is connected with the notification pushing module (500);
the face acquisition module (100): the system comprises a plurality of high-definition cameras, acquires the face of a specific scene according to the autonomous configuration of the installed cameras by school, and transmits the acquired face image information to a face recognition module (200) through an HTTP or FTP protocol;
the face recognition module (200): the face image matching system is used for receiving face image information sent by a face acquisition module (100), comparing a face image with a pre-entered list base, acquiring a face base with the highest similarity to the face image, and sending the face image information and the face base information to the information matching module (300);
the information matching module (300): the system is used for receiving the face image information and the face bottom library information, matching the face image information and the face bottom library information in the recorded list data to obtain name information and danger levels corresponding to the face information, recording matching results into an identification record of a background management system, and feeding back the matching results into a corresponding notification pushing module (500);
the notification push module (500): and the system is used for receiving the name information, time and place, corresponding danger level and the face image information, recording the superposed information into a list record of a background management system, and pushing the superposed information to a preset responsible person in real time.
2. The list warning system based on a face recognition camera as claimed in claim 1, wherein: the high-definition camera is arranged in a gate and a key area required by a school.
3. The list warning system based on a face recognition camera as claimed in claim 2, wherein: the high-definition camera supports 24 face detection per frame, has storage and retransmission functions, can store collected face images when a school network is not good or is disconnected, and retransmits the face images to the face recognition module (200) when the network is good.
4. The list warning system based on a face recognition camera according to any one of claims 1 to 3, wherein: the system also comprises a list information input module (400) connected with the information matching module (300), wherein the information input module (400) comprises a list library added with name information, identity numbers, danger levels, descriptions, household addresses and face pictures.
5. The list warning system based on a face recognition camera as claimed in claim 4, wherein: the list library is divided into a public list library and a school list library, the public list library is derived from published dangerous personnel, and the school list library is established by autonomous addition of schools.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010048532.8A CN111259799A (en) | 2020-01-16 | 2020-01-16 | Name list early warning system based on face recognition camera |
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| CN202010048532.8A CN111259799A (en) | 2020-01-16 | 2020-01-16 | Name list early warning system based on face recognition camera |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114694344A (en) * | 2020-12-28 | 2022-07-01 | 深圳云天励飞技术股份有限公司 | Campus violence monitoring method and device and electronic equipment |
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