Ankita’s Status Report for 3/16/24

Work Done

I started tagging the positive and negative images needed to train the vehicle classifier from traffic camera footage — I’m still waiting on some footage from the Fifth and Craig intersection from Zina to add more images to the training dataset and then finally train the model. I was able to ssh into the Raspberry Pi (after connecting it to my Mobile WiFi hotspot) and I was able to connect the IP Camera to my Mobile WiFi hotspot as well.

Schedule

I’m still a bit behind schedule, but because I was able to connect the IP cameras and the Raspberry Pi to the same network a good portion of the camera integration has been taken care of. Once I get the footage from the real-life intersection I will train the vehicle detection Haar classifier, the code for which I already have typed out. Also, I no longer feel that it’s necessary to use the BLE cameras now that the IP cameras and Raspberry Pi have connected to the same network. If I have trouble accessing the IP camera video stream on the Raspberry Pi, I will revisit that as an option.

Deliverables

By the end of next week, I will:

• Train the vehicle detection Haar classifier
• Access the IP camera video feed from the Raspberry Pi and write code that will allow me to access that feed frame by frame to run the object detection model on it