Food Item Recognition
KDS Visual Verification
Automatic verification of food orders using camera above the expo station:
┌─────────────────────────────────────────────────────────────────┐
│ KDS VISUAL VERIFICATION Station: Expo │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ORDER #4521 Status: VERIFYING │
│ ─────────────────────────────────────────────────────────── │
│ │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ │ │
│ │ [Live Camera Feed - Expo Station] │ │
│ │ │ │
│ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │
│ │ │ Burger │ │ Fries │ │ Drink │ │ │
│ │ │ ✓ 98% │ │ ✓ 96% │ │ ✓ 94% │ │ │
│ │ └─────────┘ └─────────┘ └─────────┘ │ │
│ │ │ │
│ └─────────────────────────────────────────────────────────┘ │
│ │
│ EXPECTED ITEMS DETECTED ITEMS │
│ ────────────── ────────────── │
│ ✓ Signature Burger (1) ✓ Burger detected (98%) │
│ ✓ Large Fries (1) ✓ Fries detected (96%) │
│ ✓ Medium Coke (1) ✓ Drink cup detected (94%) │
│ ○ Side Salad (1) ⚠ NOT DETECTED │
│ │
│ ⚠ MISSING ITEM: Side Salad │
│ [Confirm Anyway] [Add Missing Item] [Escalate to Manager] │
│ │
└─────────────────────────────────────────────────────────────────┘
Recognition Capabilities
| Item Category | Model | Examples |
|---|---|---|
| Entrees | YOLOv8-L | Burgers, sandwiches, plates |
| Sides | YOLOv8-L | Fries, salads, soups |
| Beverages | YOLOv8-M | Cups, bottles, glasses |
| Desserts | YOLOv8-M | Cakes, ice cream, pastries |
| Packaging | YOLOv8-L | Bags, boxes, containers |
Verification Workflow
Quality Metrics
| Metric | Target | Current | Status |
|---|---|---|---|
| Detection Accuracy | above 95% | 96.4% | ✓ |
| False Positives | Under 2% | 1.2% | ✓ |
| False Negatives | Under 3% | 2.1% | ✓ |
| Processing Time | Under 500ms | 320ms | ✓ |
| Orders Verified/Hr | 200+ | 245 | ✓ |
Training & Customization
Train custom models for your menu items:
- Data Collection - Capture 100+ images per item
- Annotation - Label items in training interface
- Training - Model trains on custom dataset
- Validation - Review accuracy on test set
- Deployment - Deploy to edge devices
| Training Tier | Images/Item | Training Time | Accuracy |
|---|---|---|---|
| Basic | 100-200 | 2 hours | 90-93% |
| Standard | 500-1000 | 8 hours | 94-96% |
| Premium | 2000+ | 24 hours | 97-99% |