Automated Face Detection System for Presence Marking using OpenCV

The main objective of this project is to create a real-time face monitoring system for face recognition of educational institutions and offices in order to develop and improve the current attendance system to be more efficient and effective than ever before. The old system now has a lot of ambiguity that has led to inaccurate neutrality and inefficiency. The most difficult task for any organization is to mark attendees This background technology will be a real-time face recognition system. A person’s face is one of the natural features that can identify a person differently. Therefore, it is used to track identification as the chances of the face turning or recurring are low. This program can be used to go to educational institutions and offices using real-time face recognition with the help of Python, OpenCV, Web Cam, and Excel file. Common methods such as eigen faces and fishermen’s faces are sensitive to light, sound position, blockage, light etc. So, we used Python and AI to see real-time face recognition and overcome those difficulties. Attendance records will be automatically updated and stored on an excel sheet