Face Recognition Based Attendance-Monitoring System

Taking attendance in lecture halls can be hard and take a lot of time, especially with many students, which can lead to proxy attendance issues. Normal methods struggle with this, so we need better, automated solutions, like face recognition. Fingerprint and RFID tags have been used, but they're not always reliable. To fix this, a project suggests making an automated system that uses facial recognition. It marks attendance by recognizing faces, making it quicker and easier. The goal is to make attendance easier using face detection and recognition algorithms. This system reduces workload a lot compared to normal methods. It has four phases: Image Capturing, Group Image Segmentation and Face Detection, Face Comparison and Recognition, and Updating Attendance in the database.