This week, I helped to wire all of our inductive/capacitive sensors together and measure their output voltage/current to ensure that wiring that number of sensors in parallel would not damage the Jetson Xavier. I also continued downloading dependencies to the Jetson Xavier so that we could correctly interface with the motor driver, camera, sensors, and neural net model. I was able to hook up the Jetson Nano with the Raspberry Pi camera and a simple LED. Then, with Lauren, I tested the motor driver and the sensors. We were able to hook up multiple inductive and capacitive sensors to the Jetson Xavier, but could not get the motor driver to drive our stepper motor.
My progress is slightly behind schedule. I underestimated the amount of time it would take to set up the Jetson Xavier and interface all of our sensors/motor with it. Installing PyTorch and all of its dependencies on the Jetson Xavier was also more challenging than I expected. However, after testing the sensors, my team realized that calibrating the sensors should take much less time than expected, so we were able to modify our schedule to account for the extra time spent connecting everything to the Jetson Xavier.
Next week, I hope to get the motor driver working successfully and finish installing the necessary machine learning libraries so that we can test the image classifier. Once that’s done, I can help build the sensor box and mount our sensors to it.