This week, I have refined the model to add more labels to the output. The model was not very good because the dataset is small and not class-balanced. I tried to use focal loss to deal with the class imbalance, but the result was still not good though. Also, I have helped my teammates to construct the stand holding the sensors. We also did testings in real-world scenarios. We modified the scripts and the model based on the result. The result was not bad. The picture of us doing the testing can be found in our team weekly report.
We are on schedule. No changes need to be made to the schedule. Next week, I hope to test the modified system and iteratively add new modifications. I will be ready for the demo.