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Smart Fridge Computer Vision System
Real-time product recognition and inventory tracking using edge AI.
Client: Retail technology startup
Challenge
The client needed automated inventory tracking inside commercial refrigerators. Manual stock checks were infrequent, leading to stockouts and food waste.
Our approach
We built a computer vision system for real-time product detection and counting inside commercial fridges. The solution runs on edge hardware with a custom object detection model trained on a product-specific dataset. A cloud dashboard provides multi-location inventory monitoring and alerting.
Results
01Real-time product detection with 95%+ accuracy
02Edge deployment on low-cost hardware
03Multi-location inventory dashboard
04Reduced stockouts by 35%
Tech stack
PythonYOLOv8Edge AIRaspberry PiReactNode.jsMQTT