Tray Recognition AI Engine
Turn tray images into operational and nutrition intelligence
Use a dedicated tray recognition AI engine to detect plated items, estimate portions, monitor intake and support facility or foodservice workflows with structured tray-level data.
From tray capture to structured operational data
Recognize complete trays, identify food items, estimate portions and turn each tray pass into data that can support intake monitoring, waste analysis and operational reporting.
LogMeal Plans:
Analyse
Monitor
Recommend
Custom
Capture a tray.
Receive structured tray data.
1. Capture the tray
Use a tray image or connected capture point to register the full meal tray at the moment of service or return.
2. Detect items and portions
Recognize tray items and estimate portions using a workflow adapted to the client’s menu, site and operational context.
3. Use operational outputs
Send tray-level data to intake, waste, validation, reporting or facility-management workflows.
Built for real operational environments
Deploy tray-level recognition in care, education and foodservice settings where structured operational data can improve visibility and decision-making.
Designed for enterprise and facility workflows
Connect the engine to client systems, operational interfaces and site-specific processes through a tailored deployment model.
Client-specific model setup
Adapt recognition to the foods, trays and serving logic used at each client site.
System integration
Connect outputs to checkout, facility, reporting or intake-monitoring systems.
Operational deployment
Support on-site or controlled deployment scenarios based on facility requirements.
Enterprise pricing for facility deployments
Tray Recognition AI Engine pricing depends on the number of sites, deployment model, integration complexity and operational requirements.
Frequently asked questions
Is the Tray Recognition AI Engine a general-purpose API?
No. It is a dedicated enterprise workflow designed for facility-specific tray recognition and operational use cases.
Can it be adapted to a site’s own menu?
Yes. The solution is aligned to the client’s foods, trays and operational environment.
What types of workflows can it support?
It can support intake monitoring, waste analysis, validation, reporting and other tray-related operational workflows.
How is pricing defined?
Pricing depends on deployment scope, number of sites and the level of integration required.
Need tray-level food intelligence for your operation?
Discuss your deployment, use case and integration requirements with our team.