We present a mathematical model of the game of roulette and describe the implementation of an image processing and data analysis system to successfully predict the outcome of the game. Both the case of a fair (level) and biased (tilted) wheel will be described but the focus in this presentation is the (harder) case of a perfectly fair wheel. We show that when implemented on a casino-grade roulette wheel our technique obtains an expected return of over 40%, in contrast, the expected return for an uninformed gambler is -2.7%.
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