Face recognition temperature measurement campus access control system based on embedded GPU

Abstract

The invention discloses a face recognition temperature measurement campus access control system based on an embedded GPU. The system comprises a school personnel information background management unit, a face detection and recognition unit, a face recognition display interface unit, an embedded GPU parallel acceleration unit, an infrared temperature measurement camera device, a display device, an alarm access control linkage device and the like. The school personnel information background management records personal information of students, the alarm access control linkage device is responsible for distinguishing the students with detected high temperature and reporting and managing the students, and the face detection and recognition unit mainly realizes face detection, face recognition, mask recognition, living body detection and the like. The face recognition display interface unit processes and displays face information captured by the infrared temperature measurement camera device in real time. A GPU parallel acceleration unit is adopted to carry out acceleration calculation processing on a face detection and recognition algorithm, and the real-time performance of the system is improved.

Description

Technical field [0001] The present invention relates to the field of face recognition, and is specifically a face recognition temperature measurement campus access control system based on embedded GPU. Background technique [0002] With the prevention and control of the new crown epidemic, personnel information management has become the safety guarantee for the first public place. It has become a key object of prevention and control work for the intensive high-risk area of ​​the campus. Based on the intensiveness of the school personnel, the cross-contagious risk is high, the number of people who have been complicated by the people, and the amount of student information volume is inconvenient for management, and the campus prevention and control has become a problem. In order to avoid intensive contact in campus epidemic prevention and control, reduce the risk of infection in human work, and let schools understand the students' health information and launch subsequent work in a t...

AI Technical Summary

Problems solved by technology

[0003] 1. For changes in the complex environment of the campus, there must be good flexibility and stability. The traditional identification access control system is not sensitive to changes in light brightness and light source position, and the variety and complexity of face backgrounds. It is easy to be affected by various changes in the outside world. Causes wrong recognition, that is, the face recognition algorithm is not mature enough, and the detection and recognition algorithm needs to be improved and optimized, that is, the accuracy of detection and recognition still needs to be improved

[0004] 2. Based on the characteristics of the special period of epidemic prevention and control, the traditional identification access control settings are too simple to meet the needs of campus prevention and control

[0005] 3. The campus population flow is huge, and there is a lot of identification information that needs to be compared. It is required that the identification device has strict operation and calculation capabilities for big data. The reliability is increasing, but the traditional identification access control system cannot guarantee the orderly identification work with high efficiency and high quality

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