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AI-Food Count Detection
Computer vision auditing for food systems
Our AI-Food Count Detection system utilizes instance segmentation models to audit and identify food portions on serving trays or food production conveyor belts. It automates inventory control and portion analysis.
Key Features
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Instance Segmentation
Identifies and outline individual food portions on trays.
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Portion Auditing
Checks if servings align with recipe standards automatically.
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Continuous Scanning
Processes trays continuously on automated conveyor networks.
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Nutritional Estimation
Estimates calorie values based on recognized portions.
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Inventory Analytics
Generates reports on food volumes consumed during operations.
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HACCP Integration
Logs timestamps and images to assist food safety compliance.
Why Choose AI-Food Count Detection?
- Improve food service line throughput
- Audit portion sizes to reduce waste
- Verify recipe compliance dynamically
- Track food ingredient utilization logs
- Maintains safety compliance records
Built With
PythonPyTorchMask R-CNNOpenCVDockerAWS
Pricing Plans
Most Popular
Facility
Contact Us
- Up to 5 scanning checkpoints
- ERP integration
- Priority support
Ready to get started?
Let's discuss how AI-Food Count Detection can transform your business.
Schedule a Demo