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Checkin 1 #3

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RyanFisk2 opened this issue Feb 20, 2020 · 3 comments
Open

Checkin 1 #3

RyanFisk2 opened this issue Feb 20, 2020 · 3 comments

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@RyanFisk2
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Check in 1 peer feedback.

@hjaensch7
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hjaensch7 commented Feb 20, 2020

Team: DEFENCE

  • How do you actually analyze hands
  • How do you get and use betting information
  • Perhaps pi is in pocket, some form of input like a button could be useful
  • How good of a resolution is needed for the camera?
  • What is scanning process?
    • Whole table
    • Just hand
    • Both at once
  • Plexiglass table
  • System could enhance spectating a poker game

@grahamschock
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It seems as if there are some really cool moving parts that are working together in some pretty nuanced ways. However, I think when we have so many moving parts together within a system that interacts with a physical world (where there are so many different factors i.e light, movement etc) there can be some major issues. I think you guys should take extra care in making sure the technology can interact in the physical world.

@ericwendt
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The QR scanner is definitely the way to go. It's a wonderful proof of concept that doesn't require heavy image recognition. You mentioned that you'd be going with a raspberry pi to calculate the percentage chance of winning a game/hand (idk how poker works). One issue you mentioned was memory constraints. Raspberry pi doesn't have a huge amount of RAM, but it's not terrible either. You can also go crazy with a large micro SD card and MMAP some memory on the fly, i think it would work exactly how you want without being too difficult. Really cool idea team!

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4 participants