Team B7: Resisthor

This week, I finished working on the object detection pipeline. Last week, I was struggling to properly filter our the background resistor board. I figured out the appropriate HSV values to filter it out, which should stay the same under these lighting conditions across images. I used CLAHE to reduce the effect of reflections of the resistors, morphological closing to close any holes that appeared in the resistors, and contouring to find and draw edges around the resistors. I cleaned…

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For this week, I focused on figuring out how to detect resistors on a breadboard and get their locations as accurately and efficiently as possible. I considered standard deep learning approaches that would find bounding boxes around resistors it found in a given image. The three alternatives for  this were Faster RCNN –> the most accurate but slow and takes up memory YOLO –> much faster and lightweight alternative but accuracy is lower With both of these options as back…

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