TrayVerify
AI computer vision device for healthcare foodservice
A tray-line device combining a 12MP camera, processing unit and kitchen display with an AI service that checks each assembled meal tray against the patient's diet order and flags discrepancies before delivery.
- Computer vision analysis of each tray against the meal ticket, typically in 5 to 30 seconds
- Real-time pass/fail result on a kitchen display with audio feedback
- Detection of missing items, incorrect preparations, allergen conflicts and texture modification errors
- Searchable historical records with timestamped tray images
- Multi-facility dashboard with role-specific views
- HIPAA Business Associate coverage, NIST CSF 2.0 alignment and SOC 2 Type II infrastructure, with facilities retaining data ownership and no PHI used for external AI training
- Installation in under two hours on an existing tray line
Built for
Skilled nursing facilities, hospitals and multi-site health systems running patient meal service