With the development of science and technology, computer science is becoming more and more mature and plays an important role in social life and economic development. Based on this background, an epidemic prevention and control information platform for universities based on face recognition technology and temperature technology has been created. The system can realize real-time monitoring of students' identity verification, ID card numbers and internal school item files, it can also effectively detect the body temperature of teachers and students, and make timely early warning suggestions to relevant departments based on the detection results, which provides effective data support as well as technical guarantee in public security work. At the same time, it uses embedded computer technology to realize the interaction of data between each link in the epidemic prevention work and the database, which is convenient for the staff to grasp the relevant data information and dynamic changes in a timely manner, thus providing effective guarantee measures for the management of universities. This paper introduces the information platform of university epidemic prevention and control based on face recognition and temperature recognition technology, and designs and implements the study of the system.

Xiuru Jian, Xiutong Jian, Yanjiao Wei, Ziyue Liu, Xiaolong Wang. Application and Management of College Epidemic Prevention and Control Information Platform Based on Face Recognition and Temperature Measurement Technology. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 9: 90-97. https://doi.org/10.25236/AJCIS.2022.050914.

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