Vosíme Pizza Checker
AI-Powered Quality Control System. Ensuring perfect pizzas leave the kitchen every single time with real-time computer vision inspection.
STATUS: INSPECTING
Confidence: 99.8% | Latency: 42ms
How it Works
The system is designed for high-throughput kitchens where speed and consistency are critical.
1. Capture
Custom-mounted high-resolution cameras capture pizzas precisely before packaging.
2. Process
Edge-compute modules process the images instantly using optimized OpenCV models.
3. Analyze
FastAPI backend analyzes ingredient distribution, burn marks, and overall quality against standard specifications.
4. Feedback
Real-time feedback is instantly displayed on kitchen tablets, alerting staff to specific issues.
Technical Architecture
Hardware Edge Layer
Lightweight, dust-resistant custom enclosures housing Raspberry Pi 4 compute modules and Sony IMX477 sensors.
Vision Pipeline
Low-latency C++ / OpenCV implementations tailored for high-speed conveyor environments. Sub 80ms total inference.
API Services
Python FastAPI providing scalable, asynchronous endpoints for data ingestion and tablet real-time sockets.
Frontend Interfaces
Next.js dashboards presenting historical data for management, and simplified tablet views for line cooks.