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AI-Case-Comp

IDEA & APPLICATION using peekingduck’s computer vision to develop a functional system to detect potential high risk encounters between wild monkeys and park goers in Singapore, presenting such occurrances via a complementary front end to provide operators live coverage, expediting the process to activate emergency aid should the need arise.

TO SOLVE

  1. getting the machine to recognise difference between human and monkey
  2. defining a “safe distance”
  3. showing alert on front end

CONSIDERATIONS & MITIGATION

  1. security
  • no storage of video data
  • operators do not have open access to video feeds other than high risk occurrances
  • AI is the primary touch point for data
  1. location of cameras
  • areas of higher risk of monkey attacks (e.g. benches, rest areas, places where ppl are more likely to stop and eat
  • along trail with known monkey traffic

Attached is the Google Colab link to our code: https://colab.research.google.com/drive/1AK6UU5ntd9xX6KgN7gwrWz-2HiYMJwhr?usp=sharing. Run it accordingly and you should be able to run and evaluate our model.

This links brings you to a Google Drive that containsthe weights and the sample photos used: https://drive.google.com/drive/folders/13S71cRKVUuH3sR1ZPuKtMSXmWC3L_KaY

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