Surveillance Camera

Surveillance cameras are increasingly sophisticated tools used for various purposes, from security and traffic monitoring to public health initiatives and crime prevention. Current research focuses on enhancing privacy through techniques like selective recording based on user consent and automated blurring of sensitive information, while simultaneously improving accuracy and robustness of object detection and tracking algorithms, often employing deep learning architectures such as YOLO and U-Net, and Kalman filtering. These advancements aim to balance the benefits of surveillance with ethical concerns around data privacy and security, impacting fields ranging from law enforcement to environmental monitoring.