WolfEye+ is an intelligent safety monitoring system that combines Face Recognition and Personal Protective Equipment (PPE) Detection using real-time video analysis.
Developed as part of the Venture Base Hackathon 2025 and it focuses on innovative approach to workplace safety and security.
WolfEye+ ensures that only authorized individuals are identified and that all personnel are wearing the required protective gear before entering restricted zones.
- Face Recognition — Accurately identifies registered individuals using camera input.
- PPE Detection — Detects safety gear such as helmets, googles, ear protections, gloves and vests in real time.
- Web-Based Dashboard — Displays live detection results and system alerts.
- Point System — Employees wearing required PPE items are awarded compliance points
- Backend Integration — Communicates with Python(Fastapi) backend for model inference and data handling.
- Attendance and PPE violations Dashboard — Monitors attendance status and PPE adherence with real-time detection metrics[Daily, Weekly, Monthly].
- React + Tailwind CSS
- Python (FastAPI)
- Deep face for face detection
- YOLO for PPE detection
- MongoDB database for storing user and detection data
- Pycharm
- Git & GitHub
- Postman for API testing
- Figma for UI/UX design
You can view our full UI/UX prototype here:
👉 Figma Design – WolfEye+
| Name | Role | Contribution |
|---|---|---|
| Wint Wah Kyaw Soe | Member | Frontend + Backend integration and Frontend Development |
| Yoon Thiri Aung | Member | AI model development + Backend Development |
| Soe Sett Lynn | Member | UI Design + Business Logic + Presentation |
This project earned the First Runner-Up Prize for its innovative approach to workplace safety and security at the Venture Base Hackathon 2025.