Anomaly Detection in Crowds

An anomaly detection workflow designed for crowd monitoring applications. The system learns baseline crowd behavioral patterns using convolutional neural networks and flags statistically abnormal behavior using CNN-based real-time image correlation. Built for deployment in public spaces where crowd safety monitoring is critical.