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Visitor Authentication via Facial Recognition by 4022 MALISHWARAN M is a document available to read on EtoBox.
What is Visitor Authentication via Facial Recognition about?
This document presents a visitor authentication system using CCTV cameras and face recognition technology. The system collects face images using CCTV and analyzes them using a deep learning model (Tiny-YOLOv3) on a Jetson Nano board to detect faces and identify if they belong to a registered user. It achieved an average detection speed of 6.5 FPS and 86.3% accuracy. The system provides functions like logging visitor details, number of visitors, and time of visits to enhance security for access control. It w
- Author
- 4022 MALISHWARAN M
- Language
- EN