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Reducing Food Waste with Privacy Preserving Computer Vision

LauzHack 2018

IBM api: pip install --upgrade "watson-developer-cloud>=2.4.1"

Idea/goals:

  • Every 30 seconds: take 4K picture on client
  • blur people on client
  • send blurred and patched versions from client to server (= increased security/anonymity)
  • Server does API call to IBM Watson Vision to classify as food/non-food
  • Make snips.ai board talk with you, that you should go and check out food in #building. You can then ask what food is present.
  • Store results in database: (timestamp, building, {11: "food", 12: "non-food", ...}). keys are array indexes ij of patches
  • For those patches that come back with "food" or "fruit" or ..., send them to the IBM Watson Vision "food" API to determine the type of food. Store this too.
  • Count people

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