Classroom attendance, as an indispensable part of teaching activities, plays a very important role in classroom teaching. Classroom attendance can effectively supervise students to attend classes on time and ensure the quality of classroom teaching. However, the current classroom attendance is mainly achieved by the way of teacher\'s name-calling, which will cause a lot of waste of classroom time. This paper presents a classroom attendance system based on video face recognition technology. The system uses a camera installed in the classroom to obtain classroom video information. For the collected video information, it is first divided into a frame of static pictures, and from the pictures, several pictures with clear face and better light are selected for face recognition, and finally the recognition results are aggregated and merged. In order to solve the influence of the location of the camera on the recognition results, the system can be combined with the platform control system to control the rotation and focusing of the camera through the platform, and further improve the recognition accuracy.
Deep Learning
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask,hadoop Frontend :-python Backend:- MYSQL
₹10000 (INR)
2019