This project aims to create a real-time system that can automatically detect weapons like knives, guns, and bombs using a special type of software called YOLO (You Only Look Once) combined with OpenCV. YOLO is a powerful tool that can quickly identify objects in video streams. The system works by taking live video from a camera, then analyzing each frame to pinpoint any weapons present. When a weapon is detected, the system draws a box around it on the screen and labels it accordingly. This technology could be very valuable for improving security in places like airports or public events, where quick and reliable weapon detection is crucial for safety.
This project aims to create a real-time system that can automatically detect weapons like knives, guns, and bombs using a special type of software called YOLO (You Only Look Once) combined with OpenCV. YOLO is a powerful tool that can quickly identify objects in video streams. The system works by taking live video from a camera, then analyzing each frame to pinpoint any weapons present. When a weapon is detected, the system draws a box around it on the screen and labels it accordingly. This technology could be very valuable for improving security in places like airports or public events, where quick and reliable weapon detection is crucial for safety.
![sample-2](https://github.com/charann29/charann29/assets/172465213/a0db0d50-6551-480e-ae57-438dc9833663)