Weapon Detection Using YOLOv3 and OpenCV

Abstract

Abstract –In an era where ensuring public safety is paramount, this seminar presents a real-time weapon detection system powered by the YOLOv3 model and OpenCV (cv2). We explore the architecture and capabilities of YOLOv3, a cutting-edge object detection model, and its seamless integration with OpenCV for weapon detection. The seminar covers data collection, preprocessing, model training, and practical implementation. Results are demonstrated with visual examples, highlighting the system's real-time capabilities. Our presentation underscores the importance of YOLOv3 and OpenCV in enhancing security and the vital role they play in public safety..