Practical research on classroom teaching evaluation based on face recognition
Konferenz: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
25.03.2022 - 27.03.2022 in Wuhan, China
Tagungsband: CIBDA 2022
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Zhou, Huatao; Yao, Yuan (College of Information Engineering, Wuchang Institute of Technology, Hongshan District, Wuhan City, Hubei Province, China)
Xu, Chen (Pediatric Department, Wuhan Integrated Traditional Chinese and Western Medicine Hospital, Jiekou District, Wuhan City, Hubei Province, China & Hubei University of Chinese medicine, Hongshan District, Wuhan City, Hubei Province, China)
Tu, Fang (Library of Wuchang Institute of Technology, Hongshan District, Wuhan City, Hubei Province, China)
Inhalt:
This paper takes Python language as the development tool, carries out practical research on classroom teaching evaluation based on OpenCV library and Dlib deep learning library, uses face recognition technology to reform and innovate the traditional classroom teaching evaluation, obtains the class rate, rise rate and attendance rate in real time, and reduces the work pressure and burden of classroom teachers and teaching managers, It improves the efficiency and level of classroom teaching management.