[go: up one dir, main page]

CN112950835A - Face recognition access control method and device, intelligent terminal and storage medium - Google Patents

Face recognition access control method and device, intelligent terminal and storage medium Download PDF

Info

Publication number
CN112950835A
CN112950835A CN202110277383.7A CN202110277383A CN112950835A CN 112950835 A CN112950835 A CN 112950835A CN 202110277383 A CN202110277383 A CN 202110277383A CN 112950835 A CN112950835 A CN 112950835A
Authority
CN
China
Prior art keywords
user
video
gate
unlocking action
matching
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110277383.7A
Other languages
Chinese (zh)
Inventor
周锁红
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Sansuo Industrial Co ltd
Original Assignee
Zhejiang Sansuo Industrial Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang Sansuo Industrial Co ltd filed Critical Zhejiang Sansuo Industrial Co ltd
Priority to CN202110277383.7A priority Critical patent/CN112950835A/en
Publication of CN112950835A publication Critical patent/CN112950835A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME 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
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Social Psychology (AREA)
  • Psychiatry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Lock And Its Accessories (AREA)

Abstract

The application relates to a face recognition access control method, a face recognition access control device, an intelligent terminal and a storage medium. The method comprises the steps of obtaining and storing user information, wherein the user information comprises user appearances and preset unlocking actions; when a user enters a to-be-detected area in front of a gate, acquiring a user video, wherein the user video comprises user facial features and user actual unlocking actions; identifying the user video and matching the facial features of the user with all the appearances of the user; if the matching is successful, calling the matched user information; and matching the actual unlocking action with a preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, opening the gate. The method has the advantages that the photos can not be used for replacing human faces, and the safety of the entrance guard is improved.

Description

Face recognition access control method and device, intelligent terminal and storage medium
Technical Field
The present application relates to the field of face recognition, and in particular, to a face recognition access control method, apparatus, intelligent terminal and storage medium.
Background
With the maturity of IC card technology, the means for verifying the identity of people entering the room by using data information carried by the IC card has become very popular, and currently, most doorphones in residential areas open gates by using the IC card.
However, the identity of the card holder cannot be verified by swiping the IC card, potential safety hazards exist, a part of door phones with face recognition are also available in the current market, an entrance guard is generally arranged outside an office building or a community, a user stores face features into a database through registration information in advance, and when the face recognized by an entrance guard system can be matched with the face features in the database, the gate can be opened.
But its recognition effect is relatively poor, and ordinary photo can all replace the discernment and succeed, does not have fine experience effect, and entrance guard's security is lower.
Disclosure of Invention
In order to improve the security of entrance guard, the application provides a face recognition entrance guard control method, a face recognition entrance guard control device, an intelligent terminal and a storage medium.
In a first aspect, the present application provides a face recognition access control method, which adopts the following technical scheme:
a face recognition access control method is provided, wherein a video acquisition device is installed on an access control, and the method comprises the following steps:
acquiring and storing user information, wherein the user information comprises user appearances and preset unlocking actions;
when a user enters a to-be-detected area in front of a gate, acquiring a user video, wherein the user video comprises user facial features and user actual unlocking actions;
identifying the user video and matching the facial features of the user with all the appearances of the user;
if the matching is successful, calling the matched user information;
and matching the actual unlocking action with a preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, opening the gate.
By adopting the technical scheme, the system stores all user information in the office building or the cell in advance, and each user has the unlocking action set by the user; when a user enters a region to be detected, whether a record exists in the database is matched through facial features of the user, if the record exists, a preset unlocking action corresponding to the stored information is called, the user makes an actual unlocking action and matches the record, and if the record exists, the gate is opened, so that the user cannot replace the preset unlocking action with a photo, and the unlocking action cannot be made in the photo, thereby improving the safety of the entrance guard.
The present invention in a preferred example may be further configured to: when the user enters the area to be detected before entering the gate, the method further comprises the following steps:
acquiring the body temperature of a user, and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
and if the body temperature of the user indicates that the user does not have fever, opening the gate.
By adopting the technical scheme, whether the body temperature of the user is normal or not is judged before the user enters the gate so as to monitor the human health condition of the user, and the gate is not opened if the body temperature of the user is abnormal.
The present invention in a preferred example may be further configured to: when the user video is obtained, the method further comprises the following steps:
if the character features are not identified in the user video, controlling the lens of the video acquisition device to move downwards;
and if the character features are identified in the user video and the facial features of the user are not identified, controlling the lens of the video acquisition device to move upwards.
Through adopting above-mentioned technical scheme, because the user height of business turn over gate differs, for better discernment user face, then can adjust the angle of video recording acquisition device camera lens according to user height to better shooting user facial characteristic.
The present invention in a preferred example may be further configured to: when the facial features of the user are identified, the method comprises:
acquiring the head characteristics in the user video and judging the included angle between the head of the user and the horizontal plane;
if the included angle is larger than 30 degrees, controlling the video acquisition device to move downwards;
and if the included angle is smaller than minus 30 degrees, controlling the video acquisition device to move upwards.
Through adopting above-mentioned technical scheme, because generally be user positive face photo when storage user information, if shoot user's facial feature with different angles, the difficult condition of discernment then appears easily, judge through the contained angle of monitoring user's head and horizontal plane whether record a video acquisition device keeps the level with user's face to adjust record a video acquisition device according to the demand, with the improvement discernment degree of accuracy.
The present invention in a preferred example may be further configured to: the preset unlocking action comprises a facial expression action, and the method comprises the following steps:
identifying facial features in a user video;
acquiring facial feature changes within a preset time;
and judging whether the facial feature change is matched with the preset unlocking action or not, and if so, opening the gate.
Through adopting above-mentioned technical scheme, predetermine the unblock action and also can be facial expression action, carry the luggage when sometimes user business turn over gate, when the inconvenient predetermined unblock action of making of trick, the accessible is facial expression action and is unblock, and facial expression action more can't use the photo as replacing, has higher security.
The present invention in a preferred example may be further configured to: identifying an environment coefficient of the area to be detected, wherein the environment coefficient is used for describing the brightness degree of the area to be detected;
if the environment coefficient shows that the brightness of the area to be detected is higher, the brightness of the user video is reduced;
and if the environment coefficient shows that the brightness of the area to be detected is low, increasing the brightness of the user video.
By adopting the technical scheme, the brightness degree is judged by identifying the environmental coefficient of the area to be detected, so that the brightness of the user video is adjusted, and the identification accuracy is improved.
The present invention in a preferred example may be further configured to: and when the video is acquired, if more than one user characteristic is identified, controlling the broadcast to send out a prompt.
By adopting the technical scheme, the users are reminded to keep the distance, the health and the safety are maintained, and the efficiency in facial recognition is improved.
In a second aspect, the present application provides a face recognition access control device, which adopts the following technical scheme:
the utility model provides a face identification entrance guard controlling means, includes:
the storage module is used for acquiring and storing user information, and the user information comprises user appearances and preset unlocking actions;
the system comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring a user video when a user enters a to-be-detected area in front of a gate, and the user video comprises user facial features and user actual unlocking actions;
the temperature measuring module is used for acquiring the body temperature of a user and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
if the body temperature of the user indicates that the user does not have fever, opening the gate;
the identification module is used for identifying the user video and matching the facial features of the user with the appearances of all the users;
the calling module is used for calling the matched user information if the matching is successful;
and the unlocking module is used for matching the actual unlocking action with the preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, the gate is opened.
By adopting the technical scheme, the system stores all user information in the office building or the cell in advance, and each user has the unlocking action set by the user; when a user enters a region to be detected, whether a record exists in the database is matched through facial features of the user, if the record exists, a preset unlocking action corresponding to the stored information is called, the user makes an actual unlocking action and matches the record, and if the record exists, the gate is opened, so that the user cannot replace the preset unlocking action with a photo, and the unlocking action cannot be made in the photo, thereby improving the safety of the entrance guard.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
the intelligent terminal 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 face recognition access control method.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute any one of the above-mentioned face recognition access control methods.
By adopting the technical scheme, the face recognition access control method can be stored in the readable storage medium, so that a computer program of the face recognition access control method stored in the readable storage medium can be executed by the processor, and the effect of improving the stability of the processing system is achieved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. in the scheme, a preset unlocking action is set for each user, and the user needs to judge whether the actual unlocking action is consistent with the preset unlocking action or not through face recognition when the user is in the area to be detected, so that the gate is unlocked, other people are prevented from recognizing the face by pictures, and the safety of the gate is improved;
2. in the scheme, the angle of the lens of the video acquisition device is adjusted by identifying the height of the user, so that the video acquisition device can identify people with different heights, and the identification is more convenient;
3. according to the scheme, the environmental brightness is judged by obtaining the environmental coefficient of the area to be detected, and the obtained video brightness is adjusted according to different brightness so as to improve the identification accuracy.
Drawings
Fig. 1 is a schematic flow chart in the first embodiment of the present application.
Fig. 2 is a block diagram of the apparatus of the second embodiment of the present application.
Fig. 3 is a schematic structural diagram of an intelligent terminal in a third embodiment of the present application.
Description of reference numerals: 201. a storage module; 202. an acquisition module; 203. a temperature measuring module; 204. an identification module; 205. a calling module; 206. an unlocking module; 301. a memory; 302. a processor.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
The first embodiment is as follows:
a face recognition access control method, referring to fig. 1, includes:
101. user information is obtained and stored, and the user information comprises user appearances and preset unlocking actions.
Specifically, each user who needs to enter the office building or the cell needs to register own user information, and obtains the appearance of the user and a preset unlocking action in a video acquisition mode, wherein the preset unlocking action can be a facial expression action or a hand action, such as a palm beating action, a vertical splitting action, a turning action and the like.
102. When a user enters an area to be detected before a gate, user video is obtained, wherein the user video comprises user facial features and user actual unlocking actions.
Specifically, an infrared sensor is arranged in front of the gate, and the sensitivity of the infrared sensor is set, so that a user can be detected by the infrared sensor when entering a region to be detected; a video acquisition device is arranged in front of the gate, the video acquisition device is specifically a camera, and a lens of the camera is kept horizontal in an initial state and is rotationally connected to the gate, so that the camera can adjust the angle up and down; and when the infrared sensor detects the user, starting the camera to acquire the user video of the area to be detected.
Further, identifying an environment coefficient of the area to be detected, wherein the environment coefficient is used for describing the brightness degree of the area to be detected;
if the environment coefficient shows that the brightness of the area to be detected is higher, the brightness of the user video is reduced;
and if the environment coefficient shows that the brightness of the area to be detected is low, increasing the brightness of the user video.
Specifically, the environment coefficient is specifically environment illumination intensity, an illumination intensity detection sensor is arranged on the area to be detected, before the user video is obtained, the illumination intensity of the area to be detected is obtained through the illumination intensity detection sensor, and if the illumination intensity is larger than a preset value, the exposure degree of the video is reduced; and if the illumination intensity is smaller than the preset value, increasing the exposure of the video so as to enable the acquired video to be easier to identify.
Furthermore, when the video is acquired, if more than one user characteristic is identified, the broadcast is controlled to send out a prompt.
Specifically, when more than one user feature is identified in a user video acquired by a camera, specifically, the identified facial feature is taken as a reference, it is indicated that the distance between two users is too close, and the accuracy of facial identification is easily affected when two user features exist;
the broadcast is controlled to send out a prompt, so that a distance is kept between two users, the recognition efficiency is improved, and diseases infected by mouth and nose between people can be effectively prevented.
103. Acquiring the body temperature of a user, and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
and if the body temperature of the user indicates that the user does not have fever, opening the gate.
Specifically, a thermal imaging thermometer is arranged on the gate, when a user enters a to-be-detected area in front of the gate, the thermal imaging thermometer is controlled to obtain the body temperature of the user, if the body temperature of the user is above 37.3 ℃, the user is judged to be fever, and the gate is not opened; if the body temperature of the user is below 37.3 ℃, the user is judged not to have a fever, and the gate is opened.
104. And identifying the user video, and matching the facial features of the user with all the appearances of the user.
Specifically, a random frame image in the user video is selected, a face part of the frame image is identified, the size and the position of the face and information of each organ of the face are further given, matching is performed with user information prestored in a database according to the information, and whether the obtained user is the user information stored in the database is judged.
Further, if the character features are not identified in the user video, controlling the lens of the video acquisition device to move downwards;
and if the character features are identified in the user video and the facial features of the user are not identified, controlling the lens of the video acquisition device to move upwards.
Specifically, the character features comprise trunk features, facial features and the like, and the recognition model is established through a large number of training samples of the character features and is repeatedly trained so as to improve the recognition accuracy of the recognition model;
when the characteristics of the person are not recognized, but the infrared sensor senses that the person is located in the area to be detected, the height of the user is judged to be low, and the lens of the video acquisition device is controlled to move downwards to be adapted to the height of the user.
Further, head features in the user video are obtained, and an included angle between the head of the user and a horizontal plane is judged;
if the included angle is larger than 30 degrees, controlling the video acquisition device to move downwards;
and if the included angle is smaller than minus 30 degrees, controlling the video acquisition device to move upwards.
Specifically, identifying a head feature in a user video, taking a neck in the head feature as an origin, establishing a vertical coordinate axis perpendicular to the ground, establishing an abscissa axis perpendicular to the user video, taking a chin tip in the head feature as a coordinate point, and judging classification of the sample image by judging an included angle between a line segment from the chin to the neck and the abscissa axis, wherein if the coordinate point is in a fourth quadrant in a coordinate system, the included angle is a negative number; if the angle is in the first quadrant, the included angle is a positive number;
if the included angle is more than 30 degrees, the video path corresponding to the user video is upward view, and the video acquisition device is controlled to move downwards;
if the included angle is below-30 degrees, the video path corresponding to the user video is overlook, and the video acquisition device is controlled to move upwards.
105. And if the matching is successful, calling the matched user information.
Specifically, when the user registers information, the database packages and seals the user appearance and the preset unlocking action, and takes the user name as a storage name; and matching the corresponding user information after the matching is successful, and calling a preset unlocking action which is packaged and matched in the user information.
106. And matching the actual unlocking action with a preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, opening the gate.
Specifically, the camera acquires a user video in real time, wherein the user video comprises actual unlocking action segments made by the user, specifically several continuous frame segments; the method comprises the steps of identifying body characteristics of a user, wherein the body characteristics comprise hand characteristics and foot characteristics, analyzing body characteristic changes of the user according to continuous frame segments, namely actual unlocking actions, matching preset unlocking actions according to the continuous body characteristic change segments, judging whether the unlocking actions are matched successfully, and if the unlocking actions are matched successfully, opening a gate.
Further, identifying facial features in the user video;
acquiring facial feature changes within a preset time;
and judging whether the facial feature change is matched with the preset unlocking action or not, and if so, opening the gate.
Specifically, the preset unlocking action can also be facial expression, facial features in the user video are identified, frame segments in the user video are intercepted, eye features, nose features, mouth features and cheek features in the facial features are identified, displacement change and angle change of the facial features in the preset time are judged, whether the facial features are matched with the preset unlocking action or not is judged according to the change of the facial features, if the facial features are matched with the preset unlocking action, the unlocking is successful, and the gate is opened.
Compared with the limb unlocking action, the unlocking work of the facial expression is more difficult to replace by a photo, and the safety of the entrance guard is improved.
The implementation principle of the embodiment of the application is as follows: through the user registration information, the system stores all user information in the office building or the cell in advance, each user has an unlocking action set by the user, and the unlocking action can be a limb unlocking action or a facial expression unlocking action;
when a user enters an area to be detected, the user is identified by an infrared sensor, a user video is acquired through a camera, any frame image in the user video is identified, whether record corresponding information exists in a user facial feature matching database or not is judged, if the record corresponding information exists, a preset unlocking action corresponding to the stored information is called, the user makes an actual unlocking action and performs matching, if the record corresponding information is consistent with the record corresponding information, a gate is opened, in the identification process, the system can also control the rotation and the movement of the camera according to the height of the user, the exposure degree acquired by the video can be changed according to the illumination intensity of the area to be detected, so that the identification is more accurate and rapid.
Example two:
a face recognition access control device, referring to fig. 2, comprising:
the storage module 201 is configured to acquire and store user information, where the user information includes a user profile and a preset unlocking action.
The obtaining module 202 is configured to obtain a user video when a user enters an area to be detected before the gate, where the user video includes user facial features and an actual unlocking action of the user.
Further, identifying an environment coefficient of the area to be detected, wherein the environment coefficient is used for describing the brightness degree of the area to be detected;
if the environment coefficient shows that the brightness of the area to be detected is higher, the brightness of the user video is reduced;
and if the environment coefficient shows that the brightness of the area to be detected is low, increasing the brightness of the user video.
Furthermore, when the video is acquired, if more than one user characteristic is identified, the broadcast is controlled to send out a prompt.
The temperature measuring module 203 is used for acquiring the body temperature of a user and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
and if the body temperature of the user indicates that the user does not have fever, opening the gate.
An identifying module 204, configured to identify the user video and match the facial features of the user with all the user appearances.
Further, if the character features are not identified in the user video, controlling the lens of the video acquisition device to move downwards;
and if the character features are identified in the user video and the facial features of the user are not identified, controlling the lens of the video acquisition device to move upwards.
Further, head features in the user video are obtained, and an included angle between the head of the user and a horizontal plane is judged;
if the included angle is larger than 30 degrees, controlling the video acquisition device to move downwards;
and if the included angle is smaller than minus 30 degrees, controlling the video acquisition device to move upwards.
And the calling module 205 is configured to, if the matching is successful, call the matched user information.
And the unlocking module 206 is used for matching the actual unlocking action with a preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, the gate is opened.
Further, identifying facial features in the user video;
acquiring facial feature changes within a preset time;
and judging whether the facial feature change is matched with the preset unlocking action or not, and if so, opening the gate.
Example three:
an intelligent terminal, referring to fig. 3, includes a memory 301, a processor 302, and a computer program stored in the memory 301 and executable on the processor 302, wherein the memory 301 stores training data, algorithm formula, filtering mechanism, and the like in a training model. The processor 302 is configured to provide computing and control capabilities, and the processor 302 when executing the computer program performs the steps of:
101. user information is obtained and stored, and the user information comprises user appearances and preset unlocking actions.
102. When a user enters an area to be detected before a gate, user video is obtained, wherein the user video comprises user facial features and user actual unlocking actions.
Further, identifying an environment coefficient of the area to be detected, wherein the environment coefficient is used for describing the brightness degree of the area to be detected;
if the environment coefficient shows that the brightness of the area to be detected is higher, the brightness of the user video is reduced;
and if the environment coefficient shows that the brightness of the area to be detected is low, increasing the brightness of the user video.
Furthermore, when the video is acquired, if more than one user characteristic is identified, the broadcast is controlled to send out a prompt.
103. Acquiring the body temperature of a user, and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
and if the body temperature of the user indicates that the user does not have fever, opening the gate.
104. And identifying the user video, and matching the facial features of the user with all the appearances of the user.
Further, if the character features are not identified in the user video, controlling the lens of the video acquisition device to move downwards;
and if the character features are identified in the user video and the facial features of the user are not identified, controlling the lens of the video acquisition device to move upwards.
Further, head features in the user video are obtained, and an included angle between the head of the user and a horizontal plane is judged;
if the included angle is larger than 30 degrees, controlling the video acquisition device to move downwards;
and if the included angle is smaller than minus 30 degrees, controlling the video acquisition device to move upwards.
105. And if the matching is successful, calling the matched user information.
106. And matching the actual unlocking action with a preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, opening the gate.
Further, identifying facial features in the user video;
acquiring facial feature changes within a preset time;
and judging whether the facial feature change is matched with the preset unlocking action or not, and if so, opening the gate.
Example four:
a computer-readable storage medium storing a computer program capable of being loaded by a processor 302 and executing the above-mentioned face recognition access control method, the computer program, when executed by the processor 302, implementing the steps of:
101. user information is obtained and stored, and the user information comprises user appearances and preset unlocking actions.
102. When a user enters an area to be detected before a gate, user video is obtained, wherein the user video comprises user facial features and user actual unlocking actions.
Further, identifying an environment coefficient of the area to be detected, wherein the environment coefficient is used for describing the brightness degree of the area to be detected;
if the environment coefficient shows that the brightness of the area to be detected is higher, the brightness of the user video is reduced;
and if the environment coefficient shows that the brightness of the area to be detected is low, increasing the brightness of the user video.
Furthermore, when the video is acquired, if more than one user characteristic is identified, the broadcast is controlled to send out a prompt.
103. Acquiring the body temperature of a user, and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
and if the body temperature of the user indicates that the user does not have fever, opening the gate.
104. And identifying the user video, and matching the facial features of the user with all the appearances of the user.
Further, if the character features are not identified in the user video, controlling the lens of the video acquisition device to move downwards;
and if the character features are identified in the user video and the facial features of the user are not identified, controlling the lens of the video acquisition device to move upwards.
Further, head features in the user video are obtained, and an included angle between the head of the user and a horizontal plane is judged;
if the included angle is larger than 30 degrees, controlling the video acquisition device to move downwards;
and if the included angle is smaller than minus 30 degrees, controlling the video acquisition device to move upwards.
105. And if the matching is successful, calling the matched user information.
106. And matching the actual unlocking action with a preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, opening the gate.
Further, identifying facial features in the user video;
acquiring facial feature changes within a preset time;
and judging whether the facial feature change is matched with the preset unlocking action or not, and if so, opening the gate.
It should be noted that: the above embodiment provides a face recognition access control device, which is exemplified by the division of the above functional modules only when executing a face recognition access control method, and in practical applications, the above function distribution can be completed by different functional modules as required, that is, the device and the internal structure of the device are divided into different functional modules, so as to complete all or part of the above described functions. In addition, the embodiments of the face recognition access control method, the face recognition access control device, the intelligent terminal and the storage medium provided by the embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the embodiments of the method and are not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A face recognition access control method is characterized in that a video acquisition device is installed on an access control, and the method comprises the following steps:
acquiring and storing user information, wherein the user information comprises user appearances and preset unlocking actions;
when a user enters a to-be-detected area in front of a gate, acquiring a user video, wherein the user video comprises user facial features and user actual unlocking actions;
identifying the user video and matching the facial features of the user with all the appearances of the user;
if the matching is successful, calling the matched user information;
and matching the actual unlocking action with a preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, opening the gate.
2. The method of claim 1, wherein when a user enters the area to be inspected before entering the gate, the method further comprises:
acquiring the body temperature of a user, and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
and if the body temperature of the user indicates that the user does not have fever, opening the gate.
3. The method of claim 2, wherein when obtaining user video, the method further comprises:
if the character features are not identified in the user video, controlling the lens of the video acquisition device to move downwards;
and if the character features are identified in the user video and the facial features of the user are not identified, controlling the lens of the video acquisition device to move upwards.
4. The method of claim 3, wherein when a user facial feature is identified, the method comprises:
acquiring the head characteristics in the user video and judging the included angle between the head of the user and the horizontal plane;
if the included angle is larger than 30 degrees, controlling the video acquisition device to move downwards;
and if the included angle is smaller than minus 30 degrees, controlling the video acquisition device to move upwards.
5. The method of claim 1, wherein the preset unlocking action comprises a facial expression action, the method comprising:
identifying facial features in a user video;
acquiring facial feature changes within a preset time;
and judging whether the facial feature change is matched with the preset unlocking action or not, and if so, opening the gate.
6. The method of claim 1, comprising:
identifying an environment coefficient of the area to be detected, wherein the environment coefficient is used for describing the brightness degree of the area to be detected;
if the environment coefficient shows that the brightness of the area to be detected is higher, the brightness of the user video is reduced;
and if the environment coefficient shows that the brightness of the area to be detected is low, increasing the brightness of the user video.
7. The method of claim 3, comprising:
and when the video is acquired, if more than one user characteristic is identified, controlling the broadcast to send out a prompt.
8. The utility model provides a face identification entrance guard controlling means which characterized in that includes:
the device comprises a storage module (201) for acquiring and storing user information, wherein the user information comprises user appearances and preset unlocking actions;
the system comprises an acquisition module (202) and a control module, wherein the acquisition module is used for acquiring a user video when a user enters an area to be detected in front of a gate, and the user video comprises user facial features and user actual unlocking actions;
the temperature measuring module (203) is used for acquiring the body temperature of a user and controlling the opening and closing of the gate according to the body temperature of the user;
if the body temperature of the user indicates that the user has fever, the gate is not opened;
if the body temperature of the user indicates that the user does not have fever, opening the gate;
an identification module (204) for identifying the user video, matching the user facial features to all of the user faces;
the calling module (205) is used for calling the matched user information if the matching is successful;
and the unlocking module (206) is used for matching the actual unlocking action with the preset unlocking action corresponding to the user information, and if the actual unlocking action is successfully matched with the preset unlocking action, the gate is opened.
9. An intelligent terminal, characterized in that it comprises a memory (301) and a processor (302), said memory (301) having stored thereon a computer program that can be loaded by the processor (302) and that executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored which can be loaded by a processor (302) and which performs the method according to any of claims 1 to 7.
CN202110277383.7A 2021-03-15 2021-03-15 Face recognition access control method and device, intelligent terminal and storage medium Pending CN112950835A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110277383.7A CN112950835A (en) 2021-03-15 2021-03-15 Face recognition access control method and device, intelligent terminal and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110277383.7A CN112950835A (en) 2021-03-15 2021-03-15 Face recognition access control method and device, intelligent terminal and storage medium

Publications (1)

Publication Number Publication Date
CN112950835A true CN112950835A (en) 2021-06-11

Family

ID=76229899

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110277383.7A Pending CN112950835A (en) 2021-03-15 2021-03-15 Face recognition access control method and device, intelligent terminal and storage medium

Country Status (1)

Country Link
CN (1) CN112950835A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120014745A (en) * 2025-04-17 2025-05-16 杭州威灿科技有限公司 A method, system and device for passing through an intelligent gate

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040151348A1 (en) * 2003-02-05 2004-08-05 Shuji Ono Authentication apparatus
CN107424266A (en) * 2017-07-25 2017-12-01 上海青橙实业有限公司 The method and apparatus of recognition of face unblock
CN107424273A (en) * 2017-07-28 2017-12-01 杭州宇泛智能科技有限公司 A kind of management method of unmanned supermarket
CN107992739A (en) * 2017-11-30 2018-05-04 北京旷视科技有限公司 User authentication method, apparatus and system
CN208029010U (en) * 2018-04-04 2018-10-30 武汉市技领科技有限公司 Security monitoring device and system
CN109903427A (en) * 2017-12-07 2019-06-18 永州市金蚂蚁新能源机械有限公司 A kind of security system
CN111402481A (en) * 2020-03-29 2020-07-10 北京年管家信息科技有限公司 Intelligent access control system with body temperature measuring function, control method and computer readable storage medium
CN111932633A (en) * 2020-07-21 2020-11-13 浪潮金融信息技术有限公司 Method for automatically adjusting camera based on face part detection technology
CN112232167A (en) * 2020-10-10 2021-01-15 安徽讯呼信息科技有限公司 Artificial intelligence screen based on face identification

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040151348A1 (en) * 2003-02-05 2004-08-05 Shuji Ono Authentication apparatus
CN107424266A (en) * 2017-07-25 2017-12-01 上海青橙实业有限公司 The method and apparatus of recognition of face unblock
CN107424273A (en) * 2017-07-28 2017-12-01 杭州宇泛智能科技有限公司 A kind of management method of unmanned supermarket
CN107992739A (en) * 2017-11-30 2018-05-04 北京旷视科技有限公司 User authentication method, apparatus and system
CN109903427A (en) * 2017-12-07 2019-06-18 永州市金蚂蚁新能源机械有限公司 A kind of security system
CN208029010U (en) * 2018-04-04 2018-10-30 武汉市技领科技有限公司 Security monitoring device and system
CN111402481A (en) * 2020-03-29 2020-07-10 北京年管家信息科技有限公司 Intelligent access control system with body temperature measuring function, control method and computer readable storage medium
CN111932633A (en) * 2020-07-21 2020-11-13 浪潮金融信息技术有限公司 Method for automatically adjusting camera based on face part detection technology
CN112232167A (en) * 2020-10-10 2021-01-15 安徽讯呼信息科技有限公司 Artificial intelligence screen based on face identification

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN120014745A (en) * 2025-04-17 2025-05-16 杭州威灿科技有限公司 A method, system and device for passing through an intelligent gate

Similar Documents

Publication Publication Date Title
CN105120167B (en) A kind of license camera and license image pickup method
CN109377616B (en) Access control system based on two-dimensional face recognition
Fathy et al. Face-based active authentication on mobile devices
CN100361135C (en) A method for acquiring a face image, and a face recognition method and system
US9607138B1 (en) User authentication and verification through video analysis
JP5008269B2 (en) Information processing apparatus and information processing method
EP3893192B1 (en) Information processing system, information processing device, information processing method, and program
US20190095701A1 (en) Living-body detection method, device and storage medium
KR20170134356A (en) System and method for performing fingerprint-based user authentication using images photographed using a mobile device
CN109033901A (en) Glance prevention method, device, computer equipment and the storage medium of intelligent terminal
EP3282390A1 (en) Methods and systems for determining user liveness and verifying user identities
KR20120139100A (en) Apparatus and method for security management using face recognition
CN111008971B (en) A method for evaluating the aesthetic quality of group photo images and a real-time shooting guidance system
CN111163650A (en) Reminding method and reminding system based on intelligent terminal
US20200210687A1 (en) Face recognition device, face recognition method, and computer readable storage medium
EP3540638A1 (en) Methods and systems for detecting user liveness
CN111860394A (en) Gesture estimation and gesture detection-based action living body recognition method
CN208351494U (en) Face identification system
Selvaraj et al. Raspberry Pi based automatic door control system
KR20140107946A (en) Authentication apparatus and authentication method thereof
CN111080827A (en) Attendance system and method
CN107358155A (en) Method and device for detecting ghost face action and method and system for recognizing living body
CN112950835A (en) Face recognition access control method and device, intelligent terminal and storage medium
CN109635622A (en) Personal identification method, device and electronic equipment
CN111259757A (en) Image-based living body identification method, device and equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20210611