We were able to run the ML model on the Jetson Nano at last. We initially thought that this would entail reflashing the microSD card, but it was actually possible with just a few Python installations to get to 3.11. Now, this leaves the final major integration step, which is the transmission of card detections from the ML model to the processing algorithm, which we are working on. We also would like to broadcast the camera feed to the web app so that the user can calibrate the camera. Once we finish these integration steps, we then will start testing the key parameters of our product to assess viability.
Carnegie Mellon ECE Capstone, Spring 2025 | Nicholas Mesa-Cucalon, Joe Sunil Inchodikaran, Lohith Tummala