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More data points can't hurt right? Maybe this is part of their push to move away from third party suppliers?

• acdha 8y ago
  More data points can hurt: it may just waste time processing data which doesn't improve results but it can actually make things harder if you're just adding more noise which has to be filtered out but there's no corresponding improvement in signal. As a simple example in a different domain, years back I found that the best way to improve Tesseract's OCR accuracy was to ensure that I didn't feed it images at more than 150dpi because it would sometimes misrecognize dust, paper texture, etc. as characters.
  • qaq 8y ago
    My understanding is big problem is stationary objects which mostly get filtered out. With more processing power you might be able to do something about that.
    • acdha 8y ago
      My question is where the break-even point is between adding more resolution / frames-per-second versus performing more expensive analysis. Given that the human visual system is not especially high resolution or speed, I would bet that they're already at the point of diminishing returns on the sensor side and the big wins would come from more expensive processing techniques, which https://news.ycombinator.com/item?id=17671843 https://news.ycombinator.com/item?id=17671843 supports.