Video surveillance is indispensable in contemporary business and urban landscapes, playing a pivotal role in development, safety, and security. However, the exponential growth of modern environments and the widespread deployment of surveillance systems have rendered manual monitoring impractical. To address this challenge, machine learning techniques, particularly anomaly detection, have gained prominence.Anomaly detection is crucial in video surveillance, complementing object and activity detection