Cutting-edge surveillance technology being developed for casinos

Source Domain: cdcgaming.com

Cutting-edge tech developers are making advancements in video and computer-vision technology using artificial intelligence for surveillance that will change how the casino floor is managed and monitored.

That was one of the takeaways from a session at the World Game Protection Conference last week in Las Vegas, where CEOs explained their vision of video surveillance in the future and why the technology will be a game-changer for the casino industry.

The panel included Nicholas Irving, the CEO and co-founder of Eulerion Technologies Inc.; Chencong Ren, the founder of Aeyesky Inc.; and Trevor Outman, the founder and CEO of EagleSight, whose AI technology monitors every camera and sends alerts when it detects cheating attempts, such as past posting, bet capping, and pinching, and catches dealer errors such as pay on push, fail to collect, and paying a loser.

“Imagine our world if computers monitored table games and what would it mean,” said conference host Willy Allison, who moderated the panel discussion. “What if the rating of players was 100% accurate, because the computer gave you this information. What if computers could detect cheating, card counting, and advantage play. What if computers could analyze the game efficiency, speed, dealer proficiency, and errors. Would that be a cool thing?”

Computer vision can make decisions in real time, Allison said. If the surveillance camera is smart, everything is being watched, he added.

“I wrote a white paper a month ago called ‘Seeing Is Believing,’ Allison said. “It is my view of why I think this technology is going to be awesome. It’s going to help us.”

Allison said computer vision is already doing amazing things outside of the casino industry, such as with driverless cars, but he noted one of the challenges in the gaming industry is technology being used to recognize bets. From overhead cameras, it’s difficult to see the amount wagered and he asked how that obstacle could be…

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