Arduino UNO Q Implements Model Cascading OCR
An author ports an Edge Impulse two-stage OCR pipeline to the Arduino UNO Q (Qualcomm Dragonwing QRB2210), deploying PaddleOCR detector and recognizer ONNX models via Edge Impulse BYOM. The workflow runs a lightweight detector at high FPS and conditionally invokes a heavier recognizer on cropped bounding boxes to reduce FLOPs. The proof-of-concept is runnable via a Python web UI but remains slow on the UNO Q.
Scoring Rationale
Practical deployment guide with runnable steps, but niche hardware focus and limited novelty reduce broader industry impact.
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Sources
- Read OriginalOCR on Arduino UNO Q with Edge Impulse using Model Cascadehackster.io
