Ting’s Status Report 4/1/23

This week after the CSI camera struggles, we were successfully able to start the camera webstream using the USB camera. We were also able to run the YOLOv5 detection script using the webcam stream as the input, where the script would do the detection and draw bounding boxes in real time. Prof. Fedder brought in the wood that he cut for us, so we were able to test the camera height against the wood backing and see how big the platform would have to be to have an appropriate field of view. We found that after the script identifies an object, it would save an image of the captured object with the bounding box and label. Turns out we just had to add a –save-txt flag to have the results saved, but it only saved the label and not the confidence value. Upon further inspection though it turns out there is a confidence-threshold parameter that we can set, so anything that classifies under that threshold doesn’t get a bounding box at all. We are pretty on schedule in terms of the software, we just have to train the model slightly further next week since right now it is classifying a plastic hand sanitizer bottle as glass with 0.85 confidence. We will work with techspark workers next week or after the interim demo to CAD up our lid design, and they also said that they could help us use the laser cutter.