AI-Powered Refueling Safety Monitoring
- AWS
- AI Image Analysis
- Anomaly Detection
- Edge Device
- Computer Vision
- CCTV
- Automation
Objective
Reduce manual workload in gas-station refueling-permit operations by automating safety monitoring.
Features Highlight
AI-Driven Detection
Deployed AI-based image analysis to identify unsafe or non-compliant behaviors in real time.
Edge Deployment
Runs on NVIDIA Jetson Orin edge devices using live CCTV feeds for rapid on-site analysis.
Key Detection
- Unauthorized stopping points
- Refueling portable containers
- Smoking during refueling
- Door activity while refueling.
About
Explore how automated safety monitoring reduces operational risk and manual oversight across high-traffic refueling sites.
Real-Time Compliance
Continuously checks live camera feeds against refueling safety rules without manual review.
Edge Performance
On-device inference keeps latency low and works even with limited connectivity.
Actionable Alerts
Flags unsafe behavior instantly so operators can intervene before incidents occur.
Audit Trail
Every detection is logged to support reporting and continuous improvement.
