Efficient Real-Time Face Recognition-Based Attendance System with Deep Learning Algorithms

Efficient Real-Time Face recognition-based attendance systems with deep learning algorithms strive for precise and real-time performance in managing attendance across various institutions. This solution outlines key targets as well as robust face detection, model selection, real-time processing, information collection, and ensuring accuracy and reliability in face recognition by combining dlib, cvzone, and YOLO algorithms for face detection, and blur detection to improve the system’s efficiency. In a nutshell, the suggested system offers a promising approach to attendance control in challenging situations by using advanced methods to signify high accuracy, real-time processing, and value.