Counting Cards Using Machine Learning and Python - RAIN MAN 2.0, Blackjack AI - Part 1
Edje Electronics Edje Electronics
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 Published On Jun 11, 2019

RAIN MAN 2.0 is a card counting AI that's destined to be the ultimate blackjack player! Created using machine learning and Python, RAIN MAN 2.0 can easily count his way through a deck of playing cards. To identify cards, he uses a YOLO v3 detection model trained on 50,000 synthetically generated images.

This video explains how he works and what I plan to do with him. It's the first video in a series of videos that I will be posting as I build out his functionality.

-- Affiliate Links --
If you haven't seen the movie Rain Man, you need to watch it!! https://amzn.to/2XL7bit
Logitech C920 1080p webcam used by RAIN MAN 2.0: https://amzn.to/2WULb7B

Twitter:   / edjeelectronics  
RAIN MAN 2.0 project page on Hackaday: https://hackaday.io/project/27639-rai...

-- Links mentioned in video --
geaxgx1's playing card detection video:
   • Playing card detection with YOLO  
Wizard of Odds website, great source of blackjack information and strategy:
https://wizardofodds.com/games/blackj...

-- Music --
Summer Coffee by Barradeen:
  / summer-coffee  

Hidden camera blackjack footage taken from Blackjack Army YouTube channel:    • Blackjack Card Counting at Natchez Ca...  

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