After a rash of potentially dangerous incidents at casinos, AI is helping make them safer

Artificial Intelligence (AI) is based on computer vision, a set of algorithms or mathematical procedures that work as a schematic flow chart, whose purpose is to compare a given object with thousands of reference images. This mechanism has become an essential tool for video surveillance, and today’s casinos rely on this technology to greatly enhance their security.

AI systems are self-learning through their continuous operation and, in this way, in successive analyses, they are able to perform searches or comparisons much more quickly and accurately. AI normalizes visual data, which means that it classifies and labels the objects and patterns it observes, building continuously refined definitions of what is normal or average behavior for the various objects observed.

After several weeks of learning, it is able to recognize when objects are out of the norm. When it observes such anomalies, it is usually programmed to send an alert. For example, it is normal for players to gamble on different table games with a specific behavior. If a player appears to be making unusual movements or trying to cheat, there is an anomaly that draws the attention of the security department.

Another decisive factor is the facial recognition system. This biometric technology uses hundreds of advanced cameras to capture still images or videos and compare these findings with the databases that feed the intelligent algorithms. This makes it more than feasible to quickly locate certain people and stop those players whose entry is not allowed due to previous mishaps related to gambling, either in your complex or in another.