Progress
We mainly worked on building a full fledged sensor box and placing all of the circuitry into the plastic box. This box will be what we present at our demo at the end of the semester. Additionally, we continued our work towards figuring out the best classification algorithm and collected more data to train our classifier on. Alvin and Ananya worked on implementing K-Nearest Neighbors and logistic regression, and they also extracted more features from the sound signal from the microphone. Tushita worked on training the ImageNet with more specific trash data as well as getting the Pi camera to take a picture and use the ImageNet on the Pi to classify the picture. We also worked on getting more precise readings from the capacitive sensor.