Faculty mentor: Rajesh Menon
We examine optics-free imaging of QR codes by training Artificial Neural Networks to interpret the raw sensor data. We use an image sensor to take images of the QR codes displayed on a monitor. These are used as input to train the Artificial Neural Network to reconstruct the original QR code or classify it by the first character of its encoding. We test the robustness of the reconstruction systems with various colors, and changes in the gap, translation, and rotation of the sensor.
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