Developer Builds Real-Time OMR Scanner Using Webcam, Python, and OpenCV

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A developer has created a real-time Optical Mark Recognition (OMR) scanner that works through a standard webcam, replacing the need for expensive hardware scanners. The system is built using Python, OpenCV for image processing, Flask for the web interface, and SQLite for logging results. To handle real-world challenges like shaky hands and uneven lighting, the tool applies grayscale conversion, Gaussian blur, Canny edge detection, and perspective transformation to digitally flatten the scanned sheet. OpenCV contour detection then isolates individual bubbles and analyzes pixel density to identify which ones are filled in. The completed system can scan a bubble sheet, calculate a score, and export results to a CSV or SQLite database within milliseconds.

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