Counting Cards Using Machine Learning and Python - RAIN MAN 2.0, Blackjack AI - Part 1

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 ---
Logitech C920 1080p webcam used by RAIN MAN 2.0: https://amzn.to/2WULb7B

Twitter: https://twitter.com/EdjeElectronics
RAIN MAN 2.0 project page on Hackaday: https://hackaday.io/project/27639-rain-man-20-blackjack-robot

--- Links mentioned in video ---
geaxgx1's playing card detection video:
https://youtu.be/pnntrewH0xg
Wizard of Odds website, great source of blackjack information and strategy:
https://wizardofodds.com/games/blackjack/card-counting/high-low/

--- Music ---
Summer Coffee by Barradeen:
https://soundcloud.com/barradeen/summer-coffee

Hidden camera blackjack footage taken from Blackjack Army YouTube channel: https://youtu.be/Ri2dS3GkzH0

Видео Counting Cards Using Machine Learning and Python - RAIN MAN 2.0, Blackjack AI - Part 1 канала Edje Electronics