A fascinating article in The Verge looks at the history of casino cheating and talks to Ted Whiting, director of surveillance at the Aria casino in Vegas, who specced out a huge, showy CCTV room with feeds from more than 1,100 cameras. They use a lot of machine intelligence to raise potential cheating to the attention of the operators.
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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.