Video analytics is a technology that processes and interprets video data to extract meaningful information automatically. It involves the use of advanced algorithms and artificial intelligence techniques to analyze video streams in real-time or from recorded footage. Video analytics can perform various tasks, including object detection, tracking, classification, and behavior analysis. For example, it can detect and track moving objects such as vehicles or people, classify them based on predefined criteria, and analyze their behavior patterns. This technology finds applications in diverse fields such as surveillance, retail analytics, traffic management, and industrial automation. In surveillance, video analytics can enhance security by detecting unusual activities or identifying potential threats, thus enabling proactive responses. In retail, it can provide insights into customer behavior, such as foot traffic patterns and product preferences, to optimize store layouts and marketing strategies. Furthermore, video analytics can improve efficiency and safety in transportation systems by monitoring traffic flow, detecting accidents, and managing congestion. As advancements in artificial intelligence and computer vision continue, video analytics is expected to play an increasingly significant role in transforming industries and enhancing decision-making processes.