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What is Web-Based Attendance System with Facial Recognition about?
This document summarizes a research paper on developing a web-based smart attendance monitoring system using facial recognition for students. The system uses YOLOv5 for face detection, ResNet100 with ArcFace for face recognition, and cosine similarity to match faces. It achieved an average accuracy of 98% on a test dataset. The researchers conducted a survey which found that respondents rated the system
- Author
- Kelly Lector
- Language
- EN