
AI-powered safety algorithms utilize computer vision and pattern recognition to detect, analyze, and respond to hazardous behaviors and environmental threats while improveing real-time situation awareness and compliance.
It can be organized into 3 categories.
.png)
.png)


.png)
.png)
Overview
AI-based zone mapping via security feeds. No physical barriers or motion sensors
How it works
1. Security cameras monitor high risk areas
2. User-defined virtual boundaries
3. AI detect movement
4., Instant visual alarms & event recording
Benefits
- Worker safety without physical changes
- Flexible zone modification
- Improve safety compliance
- Scalable across multiple zones


Overview
Use existing security cameras and built-in computer vision models to detect safety helmets
How it Works
1. Live video from security cameras
2. Algorithm analyzes worker heads for PPE compliance
3. Visual triggers for non-compliance
4. Auto-generates reports with timestamps + footage
Benefits
- Immediate risk mitigation
- Enhanced safety audit with logs
- Reduced need for manual supervision
Overview
Uses thermal and optical cameras to detect early signs of smoke, flame, or overheating
How it works
1. Cameras with real-time footage at machine areas
2. Detects visual/fire patterns
3. Instant alerts to control room, safety systems, or suppression units
4. Data stores for reporting, training, and incident review
Benefits
- Identifies threats before alarms or visible flames
- Reduce risk to workers and infrastructure

- Compliance with local data privacy regulations
- Regular updates & security patches
- Tailored solutions to meet specific needs
- Integration with internal systems
- Edge computing deployment:
- on a moving vehicle
- remote location
- very limited network connection condition
- rural areas
.png)