Ishita Kumar’s Status Report for 04/03/21

This week, I used CAD to design the parts necessary for the rollers to be held in place to the wooden slabs in our conveyor belt and our motor. We then 3D printed our parts and they came out to fit perfectly for our needs. I also worked with Ishita Sinha to test our pixel analyzer algorithm on various images of fresh and rotten bananas found from an online dataset on Kaggle. With some trial and error and fine-tuning of the percentage of bad parts for classifying a banana as bad, our algorithm detected almost all bananas correctly for both good and rotten bananas. We decided 20% brown-black parts in a banana image was a good benchmark that worked for us. The few images that were not classified correctly had inappropriate background colors for our need such as yellow or brown. We plan to have a white background and good lighting so we are not worried about those failures as they do not apply in our case. We also acquired free rotten bananas from a store and now we are going to test our algorithm on those bananas. This next week, I want to finish our conveyor belt and decide whether to use AlexNet or not as we may not need it for our purposes. We are slightly behind track on the conveyor belt as I hoped to get it working this week but we are close and I plan to ramp up and ensure we have it working soon next week.