Innovations in Casino Surveillance Technology
Leading tech developers are advancing video and computer-vision technologies powered by artificial intelligence for surveillance, set to transform casino floor management and oversight.
This insight emerged from a recent session at the World Game Protection Conference in Las Vegas, where CEOs shared their vision regarding the transformative impact of video surveillance on the casino sector.
The panel featured Nicholas Irving, CEO and co-founder of Eulerion Technologies Inc.; Chencong Ren, founder of Aeyesky Inc.; and Trevor Outman, founder and CEO of EagleSight. Their AI technology enhances monitoring across all cameras, triggering alerts upon detecting cheating attempts such as past posting or card capping, as well as dealer mistakes like incorrect payouts.
“Imagine a future where computers oversee table games and provide precise player ratings,” stated Willy Allison, the panel moderator. He emphasized the potential for computers to identify cheating, card counting, and other gaming efficiencies. “Wouldn’t it be remarkable if these technologies could enhance game speed and dealer proficiency?”
Allison pointed out that computer vision allows for real-time decision-making, asserting that a smart surveillance camera can monitor everything continuously. He also highlighted challenges in accurately recognizing bets from overhead cameras and the need to address this issue.
Outman shared that while they achieved up to 90% accuracy for player ratings in tests, real-world deployment revealed complications—chips stacked in various ways were one challenge. Both he and Irving discussed leveraging RFID technology for precise ratings, with Outman noting the practical hurdles, such as discrepancies caused by chip materials.
Overall, the executives concluded that integrating advanced technologies into casino operations can significantly ease various surveillance tasks. While concerns exist about job security among surveillance staff, they expressed optimism that AI will enable operators to focus more on analysis and investigation, potentially increasing the workforce demand in these areas.
