An Inside Look at the Video Security of a Casino

In the near future cameras will have the intelligence to distinguish savvy players from hopeless newbs

Despite that, Whiting says facial recognition software hasn’t been of much use to him. It’s simply too unreliable when it comes to spotting people on the move, in crowds, and under variable lighting. Instead, he and his team rely on pictures shared from other casinos, as well as through the Biometrica and Griffin databases. (The Griffin database, which contains pictures and descriptions of various undesirables, used to go to subscribers as massive paper volumes.) But quite often, they’re not looking for specific people, but rather patterns of behavior. “Believe it or not, when you’ve done this long enough,” he says, “you can tell when somebody’s up to no good. It just doesn’t feel right.”

They keep a close eye on the tables, since that’s where cheating’s most likely to occur. With 1080p high-definition cameras, surveillance operators can read cards and count chips – a significant improvement over earlier cameras. And though facial recognition doesn’t yet work reliably enough to replace human operators, Whiting’s excited at the prospects of OCR. It’s already proven useful for identifying license plates. The next step, he says, is reading cards and automatically assessing a player’s strategy and skill level.

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About Matthew Peterworth

I currently work as a Technology Specialist at Henderson Engineers in Kansas City – a Mechanical-Electrical-Plumbing (MEP) design firm. Prior to that I was a Project Manager for Information Technology Services (ITS), the central IT department at the University of Texas at Austin. As of July 2008 I am a Registered Communications Distribution Designer (RCDD) through BICSI. And as of June 2011 I am a licensed Professional Engineer (PE) in the great state of Texas. Please follow me on Twitter @mpeterworth. https://twitter.com/mpeterworth

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