CN113094684A - Intelligent face biological recognition system - Google Patents
Intelligent face biological recognition system Download PDFInfo
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- CN113094684A CN113094684A CN202110505932.1A CN202110505932A CN113094684A CN 113094684 A CN113094684 A CN 113094684A CN 202110505932 A CN202110505932 A CN 202110505932A CN 113094684 A CN113094684 A CN 113094684A
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- 238000000034 method Methods 0.000 claims description 12
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 230000001815 facial effect Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 description 10
- 230000009471 action Effects 0.000 description 6
- 230000014509 gene expression Effects 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 5
- 238000005286 illumination Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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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
- 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
Abstract
The invention provides a face biological recognition intelligent system, which comprises a recognition terminal, a recognition operation server and a distribution server; the identification terminal is used for acquiring and sending user information to the identification operation server and the distribution server; the distribution server is used for distributing the identification operation server with the maximum matching success times according to the matching success times of the user information and the stored identification operation servers; the identification operation server is used for comparing the collected user information with the stored user information in an operation mode to complete biological identification, the user information comprises basic information or living body information, potential safety hazards caused by means of photographing in advance and the like are avoided, and meanwhile the problems that the identification speed is low and the like due to long data feedback time caused by slow living body information collection are solved.
Description
Technical Field
The invention relates to an intelligent analysis and recognition system, in particular to an intelligent face biological recognition system.
Background
At present, with the rapid improvement of the scientific and technical level, the requirements of people on security protection not only include the original safety and reliability, but also include the convenience, modernization and informatization, so that a large number of modern and intelligent access control systems, such as a fingerprint access control system and an IC card access control system, appear in recent years, and various intelligent locks for identifying human faces or utilizing passwords become the most popular security door locks in the market, especially in the market of rented rooms.
However, various intelligent access control systems or access locks currently used generally have various problems: for example, as the number of users increases, the local storage capacity of the unified system cannot accommodate enough facial feature information for the users, and when the number of users is too large, the more users are retrieved, the slower the recognition is. In addition, the traditional method for detecting the face to be recognized as a live face or a photo is usually performed through a randomly generated action instruction, however, the existing action instruction is simple in quantity and is well known by the public at present, and the traditional method can be cracked only by shooting the corresponding photo or recording the video (such as tiny, blinking and the like) of the person to be detected in advance, so that the safety of the system is greatly reduced.
Disclosure of Invention
In order to solve the problems of slow recognition, easy cracking of action information and the like of the existing intelligent access control or safety system, the application provides a novel human face biological recognition intelligent system, and the specific scheme is as follows:
a kind of human face biological identification intelligent system, including discerning the terminal station, discerning the operation server and distributing the server;
the identification terminal is used for acquiring and sending user information to the identification operation server and the distribution server;
the distribution server is used for distributing the identification operation server with the maximum matching success times according to the matching success times of the user information and the stored identification operation servers;
and the identification operation server is used for comparing the collected user information with the stored user information in an operation manner to complete biological identification.
The identification terminal comprises an identification starting module, a control module, a living body information acquisition module and a communication module.
The identification starting module is used for receiving an identification request of a user, starting face biological identification and commanding the control module to start working.
The control module is used for controlling the living body information acquisition module to acquire the living body information.
The living body information acquisition module is used for acquiring the living body information of the user.
The living body information acquisition module comprises a light source and an information acquisition unit; the number of the light sources is more than two, the positions of the light sources are different, and at least three different light environments can be combined under the control of the control module; the light source is used for manufacturing various light environments; the information acquisition module is used for acquiring the living body information of the user in the luminous environment manufactured by the control module controlling the light source.
The communication module is used for transmitting the collected user living body information to the allocation scheduling server or the identification operation server.
The user information includes user living body information.
The user living body information comprises user living body information under the light environment manufactured by the acquisition control module controlling the light source.
The living body information of the user in the light environment manufactured by the acquisition control module comprises facial images of the user in different light environments manufactured by the acquisition control module.
Preferably, the identification terminal further comprises a basic information acquisition module; the basic information acquisition module is used for acquiring basic information of a user; the user basic information includes a face image.
Preferably, the identification starting module is further configured to instruct the basic information collection module to start working.
Preferably, the communication module is further configured to transmit the collected user basic information to the distribution server.
Preferably, the user information includes user basic information.
The user basic information comprises a face image acquired by the basic information acquisition module, and the face image is a common face image.
The method for carrying out the face biological recognition according to the face biological recognition intelligent system comprises the following steps:
s1, receiving an identification request of a user, and starting face biological identification;
s2, collecting user information;
s3, sending the user information to the distribution server;
and S4, the distribution server distributes the identification operation server with the largest matching success frequency according to the matching success frequency of the user information and the identification operation server.
S5, sending the user information to the distributed identification operation server;
and S6, comparing the user information with the stored user information, identifying and calculating to determine whether the face to be identified matches the stored user information and calculates whether the face belongs to a living body.
Preferably, the user information of steps S2, S3, S4, S5, S6 includes user living body information.
Preferably, the user information includes user basic information at steps S2, S3, S4, and S5 includes:
s501, collecting living body information of a user;
s502, sending the living body information of the user to the distributed identification operation server;
s6 the user information includes user living body information.
Preferably, the method for face biometric identification according to the above-mentioned intelligent system for face biometric identification includes:
s1, receiving an identification request of a user, and starting face biological identification;
s2, collecting basic information of the user;
s3, sending the user basic information to a distribution server;
and S4, the distribution server distributes the identification operation server with the maximum matching success frequency according to the matching success frequency of the user basic information and the identification operation server.
S5, collecting the living body information of the user; sending the living body information of the user to the distributed identification operation server;
and S6, comparing the living body information of the user with the stored user information, identifying and calculating to determine whether the face to be identified matches the stored user information and calculates whether the face belongs to the living body.
Preferably, all the registered face recognition user information, terminal information and a face recognition matching record library are stored in the distribution server, and the face recognition matching record library records a corresponding recognition operation server when face recognition is successful each time; when the distribution server receives the user information sent by the identification terminal, the distribution server reads the data in the corresponding face identification matching record base according to the user information, compares the number of times of matching success of the corresponding identification operation server when the face identification corresponding to the terminal information or the user information is successful, screens out the identification operation server with the largest number of times as the identification operation server for the matching, and sends the matched identification operation server information back to the terminal. When the terminal sends the user information again for identification, the user information is directly sent to the matched identification calculation server. When more than two recognition operation servers meeting the requirements appear, the recognition operation server with the largest matching success frequency of the corresponding recognition operation server when the face recognition corresponding to the terminal information succeeds is taken as the standard; when more than two identification calculation servers meeting the requirement appear, the distribution server randomly distributes the identification calculation servers.
Preferably, when the system provided by the invention is used, user information needs to be input first, and the user basic information and the user living body information for comparison and identification are acquired and stored in the distribution server or the identification operation server; it is also necessary to have each user entering user information perform a successful face recognition on at least one terminal. More preferably, the face recognition in this step adopts a pre-matching mode, and the distribution server performs average distribution on the recognition operation servers corresponding to each terminal and each user information, so as to ensure that the resources of the recognition operation servers are fully utilized.
Preferably, when the system provided by the present invention is used, when a new recognition terminal is added or a new user is added, at least one successful face recognition of one user needs to be performed on the new terminal in the pre-matching mode, or one successful face recognition of the new user is performed on any terminal.
Has the advantages that:
according to the face biological identification intelligent system provided by the invention, the stored user information is respectively stored in different identification operation servers, different users using the system at the same time are distributed to different identification operation servers for identification operation through the distribution server, and the problem of reduced operation speed caused by the fact that a large number of different users rush into the same identification operation server is solved.
Since the living body information acquisition is slow (the light source and the acquisition module need to be controlled to be matched), if the living body information is sent to the distribution server for subsequent steps after the living body information acquisition is completed, the overall identification time is too long. The invention can rapidly collect the basic information of the user after starting the system and send the basic information to the distribution server for operation matching, and simultaneously orders to collect the living body information of the user, when the distribution server sends the matched identification operation server information back to the terminal, the terminal finishes the collection of the living body information, and the collected living body information can be directly sent to the matched identification operation server for living body identification according to the matching result, thereby saving the time.
The invention adopts multiple light sources to manufacture different light source environments, collects the face information under the specific light source environment, and determines the image characteristics according to the face images corresponding to the different light sources. Because the face images corresponding to different light sources are not identical and the face information is effectively amplified under illumination, the image characteristics comprise more face characteristics, and whether the face to be recognized is matched with the stored user information or not is determined and whether the face belongs to a living body or not is calculated according to the image characteristics. The user does not need to do actions or cooperate with expressions, and meanwhile potential safety hazards caused by shooting or recording expression videos in advance are avoided.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent system for face biometric identification provided by the present invention;
fig. 2 is a schematic flow chart of a method for human face biometric identification by using the intelligent human face biometric identification system provided by the invention.
Detailed Description
The following describes embodiments of the present invention with reference to the drawings.
One embodiment of the present invention: as shown in fig. 1, an intelligent system for face biometric identification includes an identification terminal, an identification operation server and a distribution server;
the identification terminal is used for acquiring and sending user information to the identification operation server and the distribution server;
the distribution server is used for distributing the identification operation server with the maximum matching success times according to the matching success times of the user information and the stored identification operation servers;
and the identification operation server is used for comparing the collected user information with the stored user information in an operation manner to complete biological identification.
The effect is as follows: according to the face biological identification intelligent system provided by the invention, the stored user information is respectively stored in different identification operation servers, different users using the system at the same time are distributed to different identification operation servers for identification operation through the distribution server, and the problem of reduced operation speed caused by the fact that a large number of different users rush into the same identification operation server is solved.
One embodiment of the present invention: the identification terminal comprises an identification starting module, a control module, a living body information acquisition module and a communication module.
The identification starting module is used for receiving an identification request of a user, starting face biological identification and commanding the control module to start working.
The control module is used for controlling the living body information acquisition module to acquire the living body information.
The living body information acquisition module is used for acquiring the living body information of the user.
The living body information acquisition module comprises a light source and an information acquisition unit; the number of the light sources is more than two, the positions of the light sources are different, and at least three different light environments can be combined under the control of the control module; the light source is used for manufacturing various light environments; the information acquisition module is used for acquiring the living body information of the user in the luminous environment manufactured by the control module controlling the light source.
The communication module is used for transmitting the collected user living body information to the allocation scheduling server or the identification operation server.
The effect is as follows: the invention adopts multiple light sources to manufacture different light source environments, collects the face information under the specific light source environment, and determines the image characteristics according to the face images corresponding to the different light sources. Because the face images corresponding to different light sources are not identical and the face information is effectively amplified under illumination, the image characteristics comprise more face characteristics, and whether the face to be recognized is matched with the stored user information or not is determined and whether the face belongs to a living body or not is calculated according to the image characteristics. The user does not need to do actions or cooperate with expressions, and meanwhile potential safety hazards caused by shooting or recording expression videos in advance are avoided.
One embodiment of the present invention:
the user information includes user living body information.
The user living body information comprises user living body information under the light environment manufactured by the acquisition control module controlling the light source.
The living body information of the user in the light environment manufactured by the acquisition control module comprises facial images of the user in different light environments manufactured by the acquisition control module.
The effect is as follows: potential safety hazards are avoided through living body information identification.
One embodiment of the present invention: the identification terminal also comprises a basic information acquisition module; the basic information acquisition module is used for acquiring basic information of a user; the user basic information includes a face image.
The identification starting module is also used for commanding the basic information acquisition module to start working.
The communication module is also used for transmitting the acquired user basic information to the distribution server.
The user information includes user basic information.
The user basic information comprises a face image acquired by the basic information acquisition module, and the face image is a common face image.
The effect is as follows: since the living body information acquisition is slow (the light source and the acquisition module need to be controlled to be matched), if the living body information is sent to the distribution server for subsequent steps after the living body information acquisition is completed, the overall identification time is too long. The invention can rapidly collect the basic information of the user after starting the system and send the basic information to the distribution server for operation matching, and simultaneously orders to collect the living body information of the user, when the distribution server sends the matched identification operation server information back to the terminal, the terminal finishes the collection of the living body information, and the collected living body information can be directly sent to the matched identification operation server for living body identification according to the matching result, thereby saving the time.
One embodiment of the present invention: as shown in fig. 2, the method for performing biometric face recognition according to the above-mentioned biometric face recognition intelligent system includes:
s1, receiving an identification request of a user, and starting face biological identification;
s2, collecting user information;
s3, sending the user information to the distribution server;
and S4, the distribution server distributes the identification operation server with the largest matching success frequency according to the matching success frequency of the user information and the identification operation server.
S5, sending the user information to the distributed identification operation server;
and S6, comparing the user information with the stored user information, identifying and calculating to determine whether the face to be identified matches the stored user information and calculates whether the face belongs to a living body.
Steps S2, S3, S4, S5, S6 said user information including user living body information.
The effect is as follows: according to the face biological identification intelligent system provided by the invention, the stored user information is respectively stored in different identification operation servers, different users using the system at the same time are distributed to different identification operation servers for identification operation through the distribution server, and the problem of reduced operation speed caused by the fact that a large number of different users rush into the same identification operation server is solved.
One embodiment of the present invention: as shown in fig. 2, the method for performing biometric face recognition according to the above-mentioned biometric face recognition intelligent system includes:
s1, receiving an identification request of a user, and starting face biological identification;
s2, collecting user information;
s3, sending the user information to the distribution server;
and S4, the distribution server distributes the identification operation server with the largest matching success frequency according to the matching success frequency of the user information and the identification operation server.
S5, sending the user information to the distributed identification operation server;
and S6, comparing the user information with the stored user information, identifying and calculating to determine whether the face to be identified matches the stored user information and calculates whether the face belongs to a living body.
The user information includes user basic information at steps S2, S3, S4, and S5 includes:
s501, collecting living body information of a user;
s502, sending the living body information of the user to the distributed identification operation server;
s6 the user information includes user living body information.
The effect is as follows: since the living body information acquisition is slow (the light source and the acquisition module need to be controlled to be matched), if the living body information is sent to the distribution server for subsequent steps after the living body information acquisition is completed, the overall identification time is too long. The invention can rapidly collect the basic information of the user after starting the system and send the basic information to the distribution server for operation matching, and simultaneously orders to collect the living body information of the user, when the distribution server sends the matched identification operation server information back to the terminal, the terminal finishes the collection of the living body information, and the collected living body information can be directly sent to the matched identification operation server for living body identification according to the matching result, thereby saving the time.
One embodiment of the present invention: the method for carrying out the face biological recognition according to the face biological recognition intelligent system comprises the following steps:
s1, receiving an identification request of a user, and starting face biological identification;
s2, collecting basic information of the user;
s3, sending the user basic information to a distribution server;
and S4, the distribution server distributes the identification operation server with the maximum matching success frequency according to the matching success frequency of the user basic information and the identification operation server.
S5, collecting the living body information of the user; sending the living body information of the user to the distributed identification operation server;
and S6, comparing the living body information of the user with the stored user information, identifying and calculating to determine whether the face to be identified matches the stored user information and calculates whether the face belongs to the living body.
The effect is as follows: according to the face biological identification intelligent system provided by the invention, the stored user information is respectively stored in different identification operation servers, different users using the system at the same time are distributed to different identification operation servers for identification operation through the distribution server, and the problem of reduced operation speed caused by the fact that a large number of different users rush into the same identification operation server is solved. Since the living body information acquisition is slow (the light source and the acquisition module need to be controlled to be matched), if the living body information is sent to the distribution server for subsequent steps after the living body information acquisition is completed, the overall identification time is too long. The invention can rapidly collect the basic information of the user after starting the system and send the basic information to the distribution server for operation matching, and simultaneously orders to collect the living body information of the user, when the distribution server sends the matched identification operation server information back to the terminal, the terminal finishes the collection of the living body information, and the collected living body information can be directly sent to the matched identification operation server for living body identification according to the matching result, thereby saving the time. The invention adopts multiple light sources to manufacture different light source environments, collects the face information under the specific light source environment, and determines the image characteristics according to the face images corresponding to the different light sources. Because the face images corresponding to different light sources are not identical and the face information is effectively amplified under illumination, the image characteristics comprise more face characteristics, and whether the face to be recognized is matched with the stored user information or not is determined and whether the face belongs to a living body or not is calculated according to the image characteristics. The user does not need to do actions or cooperate with expressions, and meanwhile potential safety hazards caused by shooting or recording expression videos in advance are avoided.
One embodiment of the present invention: the distribution server is internally stored with all registered face recognition user information, terminal information and a face recognition matching record library, and the face recognition matching record library records a corresponding recognition operation server when face recognition is successful each time; when the distribution server receives the user information sent by the identification terminal, the distribution server reads the data in the corresponding face identification matching record base according to the user information, compares the number of times of matching success of the corresponding identification operation server when the face identification corresponding to the terminal information or the user information is successful, screens out the identification operation server with the largest number of times as the identification operation server for the matching, and sends the matched identification operation server information back to the terminal. When the terminal sends the user information again for identification, the user information is directly sent to the matched identification calculation server.
The effect is as follows: when the same user adopts different terminals for identification, the identification operation server with the largest identification times can be matched according to the comparison result of the basic information of the user, and when the same terminal is adopted for identification, the data can be intelligently and respectively stored, so that the updating cost of the storage equipment is reduced, and the application of the scheme of the invention is not limited by the terminal.
One embodiment of the present invention: when the system provided by the invention is used, user information needs to be input first, and user basic information and user living body information for comparison and identification are acquired and stored in a distribution server or an identification operation server; it is also necessary to have each user entering user information perform a successful face recognition on at least one terminal. More preferably, the face recognition in this step adopts a pre-matching mode, and the distribution server performs average distribution on the recognition operation servers corresponding to each terminal and each user information, so as to ensure that the resources of the recognition operation servers are fully utilized.
The effect is as follows: the further optimization utilization of resources is realized, the matching efficiency is greatly improved, and the face recognition speed is increased.
One embodiment of the present invention: when the system provided by the invention is used, when a new identification terminal is added or a new user is added, at least one successful face recognition of one user is required to be carried out on the new terminal in the pre-matching mode, or the new user carries out one successful face recognition on any terminal.
The effect is as follows: by the comprehensive use of the embodiment and the previous embodiment, each terminal capable of successfully recognizing the face and each user information capable of successfully recognizing the face can be ensured to have a successfully matched recognition operation server in the system, the number of times of successful face recognition or matching is at least 1, so that the user can be directly judged to be failed in recognition when the user information (user basic information or user living body information) is compared, the distribution server reads data in the corresponding face recognition matching record library according to the user information, the number of times of successful face recognition corresponding to the user information is compared is zero, and no corresponding recognition operation server is used for successfully matching records. Therefore, under the specific setting mode, the identification time of the user without inputting the user information can be greatly reduced, the calculation amount can be reduced, and the system resources are saved.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.
Claims (10)
1. An intelligent face biological recognition system is characterized in that: the system comprises an identification terminal, an identification operation server and a distribution server;
the identification terminal is used for acquiring and sending user information to the identification operation server and the distribution server;
the distribution server is used for distributing the identification operation server with the maximum matching success times according to the matching success times of the user information and the stored identification operation servers;
and the identification operation server is used for comparing the collected user information with the stored user information in an operation manner to complete biological identification.
2. The intelligent system for face biometric recognition according to claim 1, wherein: the identification terminal comprises an identification starting module, a control module, a living body information acquisition module and a communication module;
the identification starting module is used for receiving an identification request of a user, starting face biological identification and commanding the control module to start working;
the control module is used for controlling the living body information acquisition module to acquire the living body information;
the living body information acquisition module is used for acquiring living body information of a user;
the communication module is used for transmitting the collected user living body information to the allocation scheduling server or the identification operation server.
3. The intelligent system for face biometric recognition according to claim 2, wherein: the living body information acquisition module comprises a light source and an information acquisition unit; the number of the light sources is more than two, the positions of the light sources are different, and at least three different light environments can be combined under the control of the control module; the light source is used for manufacturing various light environments; the information acquisition unit is used for acquiring the living body information of the user in the luminous environment manufactured by the control module controlling the light source.
4. The intelligent system for face biometric recognition according to claim 3, wherein: the user information includes user living body information;
the user living body information comprises user living body information under a light environment manufactured by a light source controlled by an acquisition control module; the living body information of the user in the light environment manufactured by the acquisition control module comprises facial images of the user in different light environments manufactured by the acquisition control module.
5. The intelligent system for face biometric recognition according to claim 2, wherein: the user information comprises user basic information; the user basic information comprises a face image acquired by the basic information acquisition module, and the face image is a common face image.
6. The intelligent system for face biometric recognition according to claim 5, wherein: the identification terminal also comprises a basic information acquisition module; the basic information acquisition module is used for acquiring basic information of a user; the user basic information includes a general face image; the identification starting module is also used for commanding the basic information acquisition module to start working; the communication module is also used for transmitting the acquired user basic information to the distribution server.
7. The intelligent face biometric recognition system according to any one of claims 1 to 6, wherein: the method for carrying out face biological recognition comprises the following steps:
s1, receiving an identification request of a user, and starting face biological identification;
s2, collecting user information;
s3, sending the user information to the distribution server;
s4, the distribution server distributes the identification operation server with the largest matching success frequency according to the matching success frequency of the user information and the identification operation server;
s5, sending the user information to the distributed identification operation server;
and S6, comparing the user information with the stored user information, identifying and calculating to determine whether the face to be identified matches the stored user information and calculates whether the face belongs to a living body.
8. The intelligent system for face biometric recognition according to claim 7, wherein: in the method for face biometric identification, the user information includes user living body information in steps S2, S3, S4, S5 and S6.
9. The intelligent system for face biometric recognition according to claim 7, wherein: in the method for face biometric identification, the user information includes user basic information in steps S2, S3 and S4, and S5 includes:
s501, collecting living body information of a user;
s502, sending the living body information of the user to the distributed identification operation server;
s6 the user information includes user living body information.
10. The intelligent face biometric recognition system according to any one of claims 1 to 6, wherein: the method for carrying out face biological recognition comprises the following steps:
s1, receiving an identification request of a user, and starting face biological identification;
s2, collecting basic information of the user;
s3, sending the user basic information to a distribution server;
s4, the distribution server distributes the identification operation server with the largest matching success frequency according to the matching success frequency of the user basic information and the identification operation server;
s5, collecting the living body information of the user; sending the living body information of the user to the distributed identification operation server;
and S6, comparing the living body information of the user with the stored user information, identifying and calculating to determine whether the face to be identified matches the stored user information and calculates whether the face belongs to the living body.
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| CN208013970U (en) * | 2018-03-07 | 2018-10-26 | 北京上古视觉科技有限公司 | A kind of living creature characteristic recognition system |
| CN109801420A (en) * | 2019-01-25 | 2019-05-24 | 大匠智联(深圳)科技有限公司 | How concurrent face recognition door control system and its recognition methods based on subsumption algorithm |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN208013970U (en) * | 2018-03-07 | 2018-10-26 | 北京上古视觉科技有限公司 | A kind of living creature characteristic recognition system |
| CN109801420A (en) * | 2019-01-25 | 2019-05-24 | 大匠智联(深圳)科技有限公司 | How concurrent face recognition door control system and its recognition methods based on subsumption algorithm |
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Application publication date: 20210709 |