- Implemented image segmentation for good and rotten apples and oranges. Started testing the algorithms on datasets for apples and oranges (to good success).
- Worked on fruit detection (i.e differentiating between rotten and good apples, bananas and oranges) using different models (yolo and pixel analysis).
- Started integration test. Currently, we have been able to take pictures from the cameras, and pass them along to the algorithms and get a final result. Working on tweaking the threshold values and experimenting with lighting and physical surroundings.
- Almost done with servo + shield (should have the system running by monday). After which, we will have full system integrated (i.e from taking picture to controlling gate via the jetson nano).
- Getting close to finishing the project, just need to finish up some physical integration and tweak parameters.
Carnegie Mellon ECE Capstone, Spring 2021 | Ishita Kumar, Ishita Sinha, Kushagra Sharma