It's 1:44 pm as I type this log (again it's Chaas👋) and we're almost done with the hackathon!

I'm just going to aggregate all our work on our lovely 

CRATE (Chironomy Recognition As a Touchless Experience) 

below:

• This satisfies all the requirements stated in the first log, and also has a lot of extra features.
• It runs on Arduino UNO Q™, with a YOLO-5 based gesture classifier, trained on a diverse 450+ image dataset, captured at the hackathon!
• It uses a Logitech Camera for real-time gesture classification, and consistently has sub-200 ms inference (~175ms average), with a mAP@50 score of 0.94 (max 1.00).
• Each gesture is displayed on the LED matrix of the Arduino (pause, skip, confirm)
• Built with C and Python for inference in the App Lab

Bill of Materials

• Arduino Uno Q 4GB ~$65
• Logitech C920 HD Video Camera ~$50
• Arduino Buzzer Modulino ~$10
• Arduino Pixels Modulino ~$10

Additional Hardware

• QWIIC Connector Cables
• Jumper Cables
• Belkin USB Hub
• USB Wires
• Pipe Cleaners

We all learned a lot and bonded well over making this project, and it was overall a blast coming here! Thanks again for the opportunity, and we'll probably be back for ewNA 2027 :)