Over the past week I worked alongside the rest of the team on wrapping up our final presentation, in addition to working on the final integration of the subsystems. For the final presentation, I worked on timing the latency in addition to conducting multiple trials to measure the model’s accuracy in plus the time it takes the cohesive script’s to detect and run inference on a singular object. In terms of implementation, I managed to interface successfully with the ramp through the main script that handled object detection, but my progress was impeded by inconsistent turning of the ramp. As mentioned in the Team Status Report, the issue was caused by mechanical failure, though I initially had suspicions it may have been a servo issue. Between now and the demo, I hope to iron out any last quirks with interfacing with the servo, which should have the system ready for its final testing prior to demo day. Additionally, I will fine-tune our YOLO model on the TACO dataset (unused at the moment in favor of the research paper dataset) to see if that improves inference results in any way.