An AI-powered security system designed to detect knives and sharp objects in real-time. Built with Java and optimized using YOLOv4-tiny for high performance on edge devices.
- Real-time Detection: High-speed frame processing for instant alerts.
- Specialized Model: Optimized specifically for knife and blade recognition.
- Lightweight Architecture: Uses YOLOv4-tiny to ensure low latency.
- Java-Based Integration: Robust backend for security system integration.
- Language: Java
- Framework: OpenCV, Deep Learning for Java (DL4J)
- Model: YOLOv4-tiny (Darknet)
- Tools: Maven/Gradle
src/- Source code for detection logic.models/- Pre-trained YOLO weights and configuration.assets/- Project documentation and demo images.
- Clone the repository:
git clone [https://github.com/harsh27pro/BLADE-GUARD.git](https://github.com/harsh27pro/BLADE-GUARD.git)