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Edge Vision Quality Control
Ultralytics YOLO + Docker on Raspberry Pi to inspect packaging in real time.
Computer VisionYOLODockerRaspberry Pi
<120ms inference on Raspberry Pi
Context & Problem
Addressed quality gaps where manual oversight failed to identify micro-defects during night shifts, resulting in costly inefficiencies and material waste.
Approach
Trained YOLO models on labeled batches and optimized packaging images.
Architecture
Camera → Raspberry Pi running Docker → YOLO inference.
Challenges
Kept inference under 120ms despite limited GPU resources by tuning model sizes and leveraging TensorRT conversions.
Tech Stack
Computer VisionYOLODockerRaspberry Pi