CCTV

One deep learning-based model is widely used for object detection in CCTV video analysis. It is designed to detect and track people, vehicles, and objects in real-time.

This technology offers high accuracy and fast processing speed, making it useful in various industries. For instance, in traffic management, it is employed for license plate recognition and traffic violation detection. In security systems, it helps identify unauthorized access. Additionally, in retail environments, it can analyze customer movement and detect specific behaviors.

The model operates based on convolutional neural networks (CNNs) and has an optimized structure that allows efficient detection with relatively low computational resources.