Student access management and snapshot analysis method based on face recognition
A technology for entry and exit management and face recognition, applied in the field of Internet of Things teaching management, which can solve the problems of high campus security risks and poor student supervision.
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Embodiment 1
[0038] This embodiment provides a method for student entry and exit management and snapshot analysis based on face recognition, including implanting chips and RFID devices in student ID cards, and setting RFID reading devices and camera devices at the school gate. Please refer to the attached figure 1 As shown, its methods include:
[0039] S1. Obtain the student's request for entering and leaving the school gate, scan and identify the student's student ID card, and collect the student's facial information through the camera device, analyze and identify the obtained facial information, and judge whether the information on the student ID card matches the information obtained by facial information analysis. consistent;
[0040] S2. Obtain whether there are still times left for the student's entry and exit permits. If the number of entry and exit permits is zero, the students will be restricted from going out through the access control. If the number of entry and exit permits is ...
Embodiment 2
[0056]On the basis of Embodiment 1, this embodiment also includes a student entry and exit management and snapshot analysis system based on face recognition, including:
[0057] RFID device, described RFID device is used for identifying the certificate information with RFID mark;
[0058] A face recognition camera device, which is used to scan and recognize facial information of people in a fixed position;
[0059] A snapshot recognition device, which is used to capture information of people entering and leaving the school gate, and send the snapshot information to the control center;
[0060] The control center conducts face recognition analysis on the acquired photo information, compares the identified information with the information in the database, and marks and restricts the entry and exit of people based on the comparison results.
[0061] Further, please refer to the attached figure 2 As shown, the Control Center also includes:
[0062] Facial recognition module 10...
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