This week I tried using the error between feature pixels and their baseline correspondents to classify the alert levels.
However, the model failed to output different levels no matter what the depth camera points to. Then I worked with Ning and updated the model to classify alert levels based on hard depth thresholds.
Besides depth image modeling, I finalized the design of the final presentation and build more features of Bluetooth audio and running the raspberry pi main script at boot up.