Automatic Attendance System based on FaceRecognition using Machine Learning
Sk. Sharmila, G. Kavya Nagasai, Muntagodu Shreekanth Sowmya, A.Sai Prasanna, S. Navya Sri, N. Meghana · 2023
Advancements have been made in the field of face recognition technology. Controlling aperson's attendance in real time via facial recognition technology. Face recognition is the process of recognizing a person by their facial characteristics. Various computer vision algorithms, including those used for face detection, expression recognition, and video surveillance, can make use of a person's unique facial features. A face detection and recognition- based attendance monitoring system might very well rapidly and accurately locate and identify people in photographs or video footage. In addition to being laborious to maintain, the time-honored practice of physically ticking off attendees is inefficient. This research work presents the working of a cascade classifier built with machine learning to improve the face detection results. This has been done by comparing the face images in the current image to a database of previously trained faces. The acquired image contributions are searchedfor a previously registered face, and once found, the person's attendance is recorded automatically.