crime prediction and detection using face recognition enhancing security through facial analysis
MALATHI S,Arun E G,Munuswamy.P ,Rajkumar.C
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 22 April,2024 Pages:1912-1917
Abstract
Crime Prediction and Detection Using Face Recognition with ResNet is an innovative application of deep learning and computer vision technologies aimed at enhancing law enforcement's ability to identify and apprehend criminals. This project utilizes the ResNet architecture to capture, recognize, and match faces in real-time from a camera feed against a database of target criminal faces. When a match is detected, the system automatically stores relevant information and promptly sends an email alert to the designated police station with comprehensive details. The core components of this system encompass real-time face detection, facial recognition using ResNet, a comprehensive database of target criminal faces, advanced face matching algorithms, and an automated email notification.
Kewords
ResNet Algorithm, Web Camera, Real Time monitoring, Haar Algorithm
Reference
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