AI-Powered Weapon Detection for Enhanced Public Security

This system introduces an innovative solution for enhancing public safety through real-time weapon detection in live video streams by employing advanced technologies. The methodology integrates state-of-the-art computer vision techniques with deep learning algorithms, specifically utilizing YOLOv5 and YOLOv7 architectures, alongside Convolutional Neural Networks (CNNs). This combination allows the system to continuously analyze video frames, accurately identifying weapons such as guns and knives with high precision. Designed for seamless integration with existing infrastructure, it is suitable for deployment in a variety of settings, including public spaces and transportation hubs. The system adapts to varying conditions, such as lighting and camera angles, to ensure accurate detection. Furthermore, upon detecting a weapon, real-time alerts are sent to authorities, enabling rapid response and potentially preventing harmful incidents.