Face recognition and verification system for entrance and exit of park and meeting room

Abstract

The invention belongs to the technical field of face recognition and verification, and particularly relates to a park and meeting room entrance and exit face recognition and verification system, which comprises an image acquisition module, a face recognition module, a face recognition module, a face recognition module and a face recognition module, the image adjusting module is used for adjusting the face image acquired by the image acquisition module so as to ensure the definition of the acquired face image; and the face analysis module is used for analyzing the face of the person according to the image adjusted by the image adjustment module so as to verify the face of the person and grading verification results. According to the invention, by arranging the face analysis module and the expression analysis module, when the face recognition is carried out on the personnel participating in the conference, the grade of the face image can be firstly determined, and then the expression analysis module is executed according to the judgment grade, so that when the face of the personnel participating in the conference changes, dual verification can be carried out, and the face recognition efficiency is improved. And the accuracy of face recognition is further ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of face recognition and verification, and in particular to a face recognition and verification system for entering and exiting a park or conference room. Background Art

[0002] A conference room is a room used for meetings, typically featuring a large conference table. Conference rooms can be used for a variety of purposes, including academic presentations, meetings, training sessions, organizing events, and hosting guests. Currently, facial recognition systems are often installed at entrances and exits to campuses and conference rooms to count and clock in attendees. Facial recognition verification is a technology that uses facial features to authenticate identities. It uses a camera or webcam to capture images or video streams containing faces, automatically detecting and tracking faces, and performing facial recognition. Facial recognition verification typically involves the following steps: 1. Face detection: First, the system searches the image or video stream to determine if a face is present. 2. Face recognition: Once a face is detected, the system compares it with facial features in a database to determine the user. 3. Face verification: Based on facial recognition, the system further determines whether the given face image and user ID match.

[0003] However, in existing facial recognition verification systems, people's faces may change over time (for example, if a participant has facial injuries or attachments (including but not limited to indelible marks or forehead bandages)). In this case, the person may not be recognized, which in turn affects people's entry and exit to the park and conference room. Therefore, a facial recognition verification system for park and conference room entry and exit is invented. Summary of the Invention

[0004] To solve the above technical problems, according to one aspect of the present invention, the present invention provides the following technical solutions:

[0005] A facial recognition verification system for entering and exiting a park or conference room, comprising:

[0006] Image acquisition module, used to collect facial images of people entering and leaving the park and conference room;

[0007] An image adjustment module is used to adjust the facial image collected by the image acquisition module to ensure the clarity of the collected facial image;

[0008] A face analysis module, configured to analyze a person's face based on the image adjusted by the image adjustment module, to verify the person's face and to grade the verification results;

[0009] an expression analysis module, configured to analyze the facial expression of the person according to the level verified by the face analysis module, so as to verify the facial expression of the person;

[0010] A face image updating module, used for updating the stored face image;

[0011] The expression image updating module is used to update the stored facial expressions.

[0012] As a preferred solution of the face recognition verification system for entering and exiting a park and a conference room according to the present invention, the face analysis module includes:

[0013] An image acquisition module, used for acquiring the image adjusted by the image adjustment module;

[0014] A face comparison module is used to compare and analyze the face image acquired by the image acquisition module with the stored face image to analyze the similarity between the two;

[0015] The face recognition module is used to judge the level of the face image obtained by the image acquisition module; if the similarity is less than or equal to 50%, it is level A; if the similarity is greater than 50% and less than 90%, it is level B; if the similarity is greater than or equal to 90%, it is set to level C.

[0016] As a preferred solution of the face recognition verification system for entering and exiting a park and a conference room according to the present invention, the face analysis module further includes:

[0017] A face storage module is used to store face images of conference participants;

[0018] The backup module is used to store and back up the face image at level B so that facial expression verification does not need to be performed during the next verification.

[0019] As a preferred solution of the face recognition verification system for entering and exiting a park and a conference room according to the present invention, the expression analysis module includes:

[0020] An expression acquisition module, used to acquire the person's expression from the image adjusted by the image adjustment module;

[0021] An expression comparison module, for comparing the facial expression image acquired by the expression acquisition module with the stored facial expression;

[0022] The expression judgment module is used to judge whether the facial expression image obtained by the expression acquisition module is similar to the stored facial expressions. If so, it means that the verification is successful;

[0023] As a preferred solution of the face recognition verification system for entering and exiting a park and a conference room according to the present invention, the expression analysis module further includes:

[0024] The expression storage module is used to store the facial expressions of the participants in the meeting.

[0025] As a preferred solution of the face recognition verification system for entering and exiting a park and a conference room according to the present invention, the face image update module includes:

[0026] A first search module is used to search for facial data of a corresponding person in the face storage module;

[0027] A face deletion module, used to delete the face data searched by the first search module;

[0028] The face upload module is used to upload new face images to the face storage module for storage.

[0029] As a preferred solution of the face recognition verification system for entering and exiting a park and a conference room according to the present invention, the expression image update module includes:

[0030] A second search module is used to search the expression data of the corresponding person in the expression storage module;

[0031] An expression deletion module, used for deleting the expression data searched by the second search module;

[0032] The expression uploading module is used to upload new facial expression images to the expression storage module for storage.

[0033] As a preferred solution of the face recognition verification system for entering and exiting a park and a conference room described in the present invention, it also includes:

[0034] The clock-in module is used to clock in personnel after analysis by the expression analysis module;

[0035] The recording module is used to record the clocking-in time of personnel.

[0036] Compared with existing technologies:

[0037] By setting up the face analysis module and the expression analysis module, it is possible to first determine the level of the facial image when performing face recognition on the people attending the meeting, and then execute the expression analysis module according to the judgment result. Then, when the face of the participant changes, double verification can be performed to further ensure the accuracy of face recognition. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0039] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0040] The present invention provides a face recognition verification system for entering and exiting a park or conference room. Figure 1 ;

[0041] It includes: an image acquisition module, which is used to acquire facial images of people entering and leaving the park and the conference room; an image adjustment module, which is used to adjust the facial images acquired by the image acquisition module to ensure the clarity of the acquired facial images; a facial analysis module, which is used to analyze the faces of people based on the images adjusted by the image adjustment module to verify the faces of people and grade the verification results; an expression analysis module, which is used to analyze the facial expressions of people based on the grades verified by the face analysis module to verify the facial expressions of people; a facial image update module, which is used to update the stored facial images; and an expression image update module, which is used to update the stored facial expressions.

[0042] The face analysis module includes: an image acquisition module, which is used to acquire the image adjusted by the image adjustment module; a face comparison module, which is used to compare and analyze the face image acquired by the image acquisition module with the stored face image to analyze the similarity between the two; a face judgment module, which is used to judge the level of the face image acquired by the image acquisition module; wherein, if the similarity is less than or equal to 50%, it is level A; if the similarity is greater than 50% and less than 90%, it is level B; if the similarity is greater than or equal to 90%, it is set to level C; a face storage module, which is used to store the face images of the participants in the meeting; a backup module, which is used to store and back up the face images at level B so that facial expression verification does not need to be performed during the next verification, wherein the storage time limit of the backup module is preferably set to 180 days.

[0043] The expression analysis module includes: an expression acquisition module, which is used to acquire the facial expressions of the person in the image adjusted by the image adjustment module; an expression comparison module, which is used to compare the facial expression image acquired by the expression acquisition module with the stored facial expressions; an expression judgment module, which is used to judge whether the facial expression image acquired by the expression acquisition module is similar to the stored facial expressions, and if so, it means that the verification is successful; and an expression storage module, which is used to store the facial expressions of the people attending the meeting.

[0044] The face image update module includes: a first search module, used to search for the face data of the corresponding person in the face storage module; a face deletion module, used to delete the face data searched by the first search module; and a face upload module, used to upload the new face image to the face storage module for storage.

[0045] The expression image update module includes: a second search module, used to search for the expression data of the corresponding person in the expression storage module; an expression deletion module, used to delete the expression data searched by the second search module; and an expression upload module, used to upload the new facial expression image to the expression storage module for storage.

[0046] It also includes: a clocking-in module, which is used to clock in personnel after analysis by the expression analysis module; and a recording module, which is used to record the clocking-in time of personnel.

[0047] When used, the specific steps are as follows:

[0048] S1: The facial images of people entering and leaving the park and the conference room are collected by the image acquisition module. After collection, the facial images collected by the image acquisition module are adjusted by the image adjustment module to ensure the clarity of the collected facial images;

[0049] S2: The image adjusted by the image adjustment module is acquired through the image acquisition module. After acquisition, the face image acquired by the image acquisition module is compared and analyzed with the stored face image through the face comparison module to analyze the similarity between the two. After analysis, the face judgment module is used to judge the level of the face image acquired by the image acquisition module. If the similarity is less than or equal to 50%, it is level A; if the similarity is greater than 50% and less than 90%, it is level B; if the similarity is greater than or equal to 90%, it is set to level C; if it is at level A, the verification fails; if it is at level B, S3 is executed; if it is at level C, the verification is successful;

[0050] S3: First, the person makes a pre-stored expression, and then repeats S1. After that, the expression acquisition module will acquire the person's expression in the image adjusted by the image adjustment module. After acquisition, the expression comparison module will compare the facial expression image acquired by the expression acquisition module with the stored facial expression. After comparison, the expression judgment module will judge whether the facial expression image acquired by the expression acquisition module is similar to the stored facial expression. When the similarity is greater than or equal to 90%, it means that the verification is successful. In this process, the backup module will store and back up the face image at level B so that facial expression verification does not need to be performed during the next verification.

[0051] When the face image needs to be updated, the face data of the corresponding person will be searched in the face storage module through the first search module. After the search, the face deletion module will delete the face data searched by the first search module. After the deletion, the new face image will be uploaded to the face storage module for storage through the face upload module.

[0052] When the facial expression image needs to be updated, the expression data of the corresponding person will be searched in the expression storage module through the second search module. After the search, the expression data searched by the second search module will be deleted through the expression deletion module. After deletion, the new facial expression image will be uploaded to the expression storage module for storage through the expression upload module.

[0053] Although the present invention has been described above with reference to embodiments, various modifications may be made thereto and equivalent components may be substituted without departing from the scope of the present invention. In particular, as long as there are no structural conflicts, the various features of the embodiments disclosed herein may be combined with each other in any manner, and the omission of an exhaustive description of such combinations in this specification is solely for the sake of space and resource conservation. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A facial recognition verification system for entering and exiting a park or conference room, characterized in that: include: Image acquisition module, used to collect facial images of people entering and leaving the park and conference room; An image adjustment module is used to adjust the facial image collected by the image acquisition module to ensure the clarity of the collected facial image; A face analysis module, configured to analyze a person's face based on the image adjusted by the image adjustment module, to verify the person's face and to grade the verification results; an expression analysis module for analyzing the facial expression of the person according to the level verified by the face analysis module to verify the facial expression of the person; A face image updating module, used for updating the stored face image; The expression image updating module is used to update the stored facial expressions.

2. A face recognition verification system for entering and exiting a park or conference room according to claim 1, characterized in that: The face analysis module includes: An image acquisition module, used for acquiring the image adjusted by the image adjustment module; A face comparison module is used to compare and analyze the face image acquired by the image acquisition module with the stored face image to analyze the similarity between the two; The face recognition module is used to judge the level of the face image obtained by the image acquisition module; if the similarity is less than or equal to 50%, it is level A; if the similarity is greater than 50% and less than 90%, it is level B; if the similarity is greater than or equal to 90%, it is set to level C.

3. A face recognition verification system for entering and exiting a park or conference room according to claim 2, characterized in that: The face analysis module also includes: A face storage module is used to store face images of conference participants; The backup module is used to store and back up the face image at level B so that facial expression verification does not need to be performed during the next verification.

4. A face recognition verification system for entering and exiting a park or conference room according to claim 3, characterized in that: The expression analysis module includes: An expression acquisition module, used to acquire the person's expression from the image adjusted by the image adjustment module; An expression comparison module, for comparing the facial expression image acquired by the expression acquisition module with the stored facial expression; The expression judgment module is used to judge whether the facial expression image obtained by the expression acquisition module is similar to the stored facial expressions. If so, it means that the verification is successful.

5. A face recognition verification system for entering and exiting a park or conference room according to claim 4, characterized in that: The expression analysis module also includes: The expression storage module is used to store the facial expressions of the participants in the meeting.

6. A face recognition verification system for entering and exiting a park or conference room according to claim 1, characterized in that: The face image updating module includes: A first search module is used to search for facial data of a corresponding person in the face storage module; A face deletion module, used to delete the face data searched by the first search module; The face upload module is used to upload new face images to the face storage module for storage.

7. A face recognition verification system for entering and exiting a park or conference room according to claim 1, characterized in that: The expression image updating module includes: A second search module is used to search the expression data of the corresponding person in the expression storage module; An expression deletion module, used for deleting the expression data searched by the second search module; The expression uploading module is used to upload new facial expression images to the expression storage module for storage.

8. The face recognition verification system for entering and exiting a park or conference room according to claim 1 is characterized in that: Also includes: The clock-in module is used to clock in personnel after analysis by the expression analysis module; The recording module is used to record the clocking-in time of personnel.

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