International Journal of Scientific Research and Engineering Development

The Suraksha Weapon Detection & Alert System is a real-time, AI-based software solution designed to detect weapons using camera input. The software captures video frames through OpenCV and processes them with a lightweight deep-learning model such as YOLO or MobileNet-SSD. The system identifies harmful objects like knives by analyzing each frame and applies multi-frame confirmation and threshold filtering to reduce false positives. Optimized using TensorFlow Lite or PyTorch, it runs efficiently on edge devices such as Raspberry Pi. Once a weapon is detected, the software triggers an alert signal, forming the core intelligence of a reliable security monitoring system.