Warehouse Safety Monitoring
Smart warehouse monitoring with CV-based anomaly detection achieving <10ms processing at 25 FPS
Overview
Developing smart warehouse safety monitoring solutions combining modern computer vision models with rule-based algorithms for real-time anomaly detection.
Technical Details
Technologies Used
- Object Detection: YOLO family models
- Video Analytics: Supervision framework
- Algorithms: Rule-based anomaly detection
- Hardware: GPU 3090 optimized
Key Features
- Multi-object detection and tracking
- Rule-based safety violation detection
- Near real-time alert system
- Integration with warehouse automation systems
Results & Impact
- <10ms actual processing time per frame
- 25 FPS real-time monitoring on GPU 3090
- Near real-time safety alerts
- Designed for automated warehouse operations