Circuit Television

Closed-circuit television (CCTV) systems are increasingly leveraging artificial intelligence and machine learning to enhance their capabilities beyond basic surveillance. Current research focuses on developing advanced algorithms for real-time video analysis, including object detection (like firearms) and action recognition (such as violent acts), often employing convolutional neural networks (CNNs) such as ResNet and MobileNet architectures. These advancements aim to improve public safety through enhanced crime detection and prevention, optimize resource management (e.g., intelligent streetlight control), and address privacy concerns by quantifying exposure to CCTV networks. The resulting improvements in efficiency and security have significant implications for both urban planning and law enforcement.