Design of Interactive Teaching System Based on Computer Vision Technology

With the development of computer technology, visual algorithms and camera technology, non-contact human-computer interaction have gradually become the mainstream of people's daily life, and the campus should also follow the trend of the times to establish an epoch-making and more interactive modern teaching environment. This paper proposes a highly convenient and innovative interactive teaching system that integrates various cutting-edge technologies including gesture recognition technology, face recognition technology based on HOG feature computing, and Internet of Things technology. Teachers can use gestures to control computers after logging in through face recognition. Using subconscious and natural gestures to teach lesson can simplify computer-side operation and improve teachers' lecture efficiency.