AI-ASSISTED REVIEW. SAFER STUDENTS. SMARTER OPERATIONS.
Turning 600 camera-hours per operating day from fifty school buses into action.
The Real Challenges
- Visible but not identifiable
- Location without the right update rate
- Camera failure without warning
- Recording without practical retention
Our Solution: Evidence availability from bus to archive
- 2MP Vandal proof IP cameras: Designed to improve usable detail across the vehicle.
- Daily health monitoring: AWS-hosted cloud service checks camera status and detects exceptions.
- Automatic ticket generation: Creates a service exception for failed or non-recording cameras.
- Dock-side recording transfer: Copies recordings to the school’s on-premises archive server.
- AI-assisted sampling of Recordings: Extracts representative frames and prioritises exceptions.
- Forensic investigation: Uses metadata and search to reduce manual review.
Turn passive video into prioritised exceptions
- Safety events (Fighting, smoke/fire, prohibited objects)
- Access exceptions (Unauthorised boarding)
- Child Abuse (Potential safeguarding indicators)
- Camera quality (Obstruction, poor framing)
- Policy checks (Uniform/attire checks)
- Human confirmation (Authorised reviewer validates alerts)