Gun Detection

Gun detection research focuses on developing accurate and efficient algorithms to automatically identify firearms in various contexts, primarily to enhance security and public safety. Current efforts concentrate on improving the performance of deep learning-based object detection models, particularly addressing challenges like small object size, occlusion, and variations in appearance, using datasets with richer contextual information. This involves exploring both 2D image analysis from sources like CCTV footage and YouTube videos, and 3D approaches using CT scans for baggage screening. Improved gun detection technology has significant implications for law enforcement, security systems, and potentially reducing gun violence.