Dispatch № 06 · safety-monitor
Real-Time Safety Monitoring
Edge computer-vision PPE detection
- Python
- OpenCV
- Raspberry Pi
- YOLOv8n
A real-time computer-vision system running on Raspberry Pi edge devices that detects missing personal protective equipment and alerts lab staff.
By the numbers
- Designed and deployed a computer vision safety system on Raspberry Pi edge devices, achieving 84% mAP in real-time PPE detection by fine-tuning YOLOv8n.
- Implemented an automated alerting pipeline to notify lab staff of safety violations in real-time, reducing incident response time by 60%.
On-device inference
I fine-tuned YOLOv8n for PPE detection and deployed it to Raspberry Pi edge devices, hitting 84% mAP while running in real time on constrained hardware.
Alerting
An automated pipeline pushes notifications to lab staff the moment a violation is detected, cutting incident response time by 60%.