Automated class attendance system built with OpenCV to perform multi-person detection & recognition of students
The aim of this project was to implement a camera based solution that periodically takes a still image from a webcam and detects the faces of students. The system then recognises the students present and automatically updates a class register database with attendance and information on latecoming.
However, the implementation that was achieved performed multi-face recognition in real time and continuously updated the recognition model by periodically retraining it with up-to-date pictures of each correctly identified student.
