Michael’s Status Report for 3/23/2024

Weekly Accomplishments

  • Conducted research into libraries that allow for video streaming over wifi. Implemented a new stream that has improvement (6s/frame) over last week’s implementation (10s/frame), but still is quite slow. There’s one last hope with a library that uses FFMPEG that may allow for hardware acceleration, but I’m not hopeful. We may want to consider using a faster processor.
  • Found new datasets for training YOLOv8 model. Training has started, and will be left running overnight.
  • Ordered filament, polarizing lens, and power brick for the KV260.
  • Worked with Sebastian to figure out what APIs need to be created for produce recognition.

Overall Progress

  • Since we didn’t hear back from the AMD contact, I went ahead and ordered a power brick on Thursday. This pushes back figuring out how to accelerate the YOLOv8 model until next week.
  • YOLOv8 model is training on my laptop, hopefully that will finish in a timely manner.
  • Ordered filament and made some touches to the CAD model, however, more adjustments may need to be made if we change processors.

Next Week’s Goals

  • Test YOLOv8 model on real world examples
  • Figure out & implement YOLOv8 acceleratation on KV260.
  • Figure out if a faster processor is needed
  • Print case for scanner.


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