Real-Time Crime Insights: Anomaly Detection using Machine Learning

Abstract: The project “Crime Suspection” is designed to enhance crime detection by analyzing human behavior using advanced technologies such as computer vision and machine learning. It aims to identify suspicious activities in public places through continuous video surveillance. The system automatically detects unusual behavior patterns and notifies authorities in real-time. This intelligent approach to surveillance can significantly reduce manual monitoring, improve reaction time, and help in preventing crimes before they occur.

Keywords: Crime analysis, Predictive policing, Fraud detection, Cybersecurity.