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CounterAttack: Automated Casino Loss-Prevention System

  • Author(s): Bucher, Brandt
  • Azeemuddin, Syed
  • Aquino, Rudy
  • et al.
The data associated with this publication are in the supplemental files.
Abstract

Background:   Goal:  The main purpose of this system is to automatically monitor multiple simultaneous games of blackjack in multiple geographic locations to detect potential card counters, who might erase or negate any potential profits for the casino hosting the game.  Our cloud-based solution carries out this process by using existing camera infrastructure and distributed object recognition algorithms to detect chips and cards on the playing table.  Once this data is captured, our algorithms calculate the correlation between the player’s bets and the remaining cards in the deck to calculate the likelihood that the player is counting cards with the intent of removing the house’s advantage I the game.

 

Faculty Adviser:   Professor Pooria Yaghini

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UCI Dean's Choice Award 2018

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Updated version-CounterAttack (2018)

Updated version-CounterAttack (2018)
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