Attendance Management using Face Detection and Recognition

Electronics and Communication Engineering

Photographic or video evidence is often seen as infallible – either damning or exonerating suspects. Facial recognition technologies have undergone large scale upgrades in performance in the last decade and such systems are now popular in fields such as security and commerce. It becomes a major concern to devise time efficient techniques in identifying the unauthorized person from entering the organization by considering attendance as a part of security. This work details a real-time automated attendance system which will mark attendance of students and employees alike. The proposed system is a real-world solution to handle day-day activities of an organization such as a college. The system focuses on capturing images from a live video stream and crediting attendance based on recognition of faces in the image using Haar Cascade Classifiers and Local Binary Patterns Algorithm. It enrolls the subject’s face into the database against the subject’s ID (unique) and Name. The system then allots attendance to the recognized faces in the database.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.