Face Recognition based student detail collection using OpenCV

Face recognition technology is cutting-edge and in great demand in the industry, due to the widespread use of big data and the increasing value of face recognition technology. The main purpose of this article is to develop a video processing-based, facial recognition-based student detail collection system. The four significant factors in this article are the accuracy rate of the face recognition during verification, the stability of the face recognition system in real-time video processing, and the dependability of the face recognition system with real-time video processing. The investigation of the scenario leads to the idea of a detailed collection system using facial recognition technology. There are three buttons. Like, (1) Take images (2) Save profile (3) Take Details. Open CV helps to detect and recognize the images