The use of facial recognition has recently become a hotly debated topic and is increasingly being misleadingly criticized as an unethical tool used to spy on the public. This leads to the question of what is the strategy for implementing this technology. It could also be said that the technology is simply unjustifiable because of the cost and results, or that it is a solution to a hundreds of thousands of dollars problem.

Most casinos rely on high security megapixel digital cameras to identify unwanted guests and new technologies are making the rounds in establishments like biometrics and facial recognition. Many people have concerns about this because it means even more data is being collected and stored. The truth is that most of us have no idea what we are going to do with a customer's face once we catch it, we just know it's a cool technology and no one wants to be left behind. All in all, everyone wants the convenience of being able to recognize and draw more information about the player, but what it does when it comes down to it is nowhere explained or well understood. It could be called a belief, a field, or a dream. Once you establish it you will come up with it.

As facial recognition technology becomes more reliable, there is a good chance that consumers will discover slot machines built with this technology in the coming years. Last year, the FBI said that its facial - recognition system, which examined a much larger database than private companies can offer, had a 90 percent chance of correctly identifying a person from a group of 50 choices. There isbe a lot that can be achieved with just face data in casinos.

The facial - recognition database just contains images and does not determine whether someone is suspected of doing something wrong. If you limit your sample to just people who have had property in the last year or two, you can find it easy to get a pretty good idea of a person's age, gender, race, ethnicity, and other personal information. And don't worry about the other 8 billion people around the world who never owned property.

If facial recognition sees your face tied to 500 POS transaction details, you know a lot more about your behavior. When you go to a restaurant, for example, the only thing it learns is that you're there, because it sees you going in and out. If you walk into the restaurant and there's a swipe for someone on the "most wanted" list, it knows who you are.

This means we're not just talking about surveillance and security. If anyone is not putting on their pants, we can't assume that only surveillance has access to their face. We have to support the idea that there's a lot more information about them than they see in video footage. This means supporting every department you touch and alerting you when the threshold of data is reached must be tailored.

For example, casino X placed a facial recognition camera on TITO and then integrated it into their system. This allowed them to receive information about their customers 'facial features, such as their age and gender. It would be the data on the amount of TITo vouchers that would show them if it was worth tracking their face.

If there is a customer with $ 10,000 who processes several transactions every day, several departments cantake immediate action. If a particular face only has transactions for 120 days, the face can be forgotten. It is assumed that the other transactions are from the preceding days which would have been suspicious.

Not only that, but monitoring should be alerted immediately. If the patron is still on the casino floor, a suspicious activity report must be completed within 24 hours.

Even if a person is not carded, faces can become a key element of related transaction data. Relationships between multiple people can be detected by identifying similar data in their backgrounds.

Real - time understanding of the behaviour of transactions requires linking multiple transactions. Forensics research the data from what is already known and recorded in the system, but this is lacking.

With facial recognition, casinos are becoming much safer and attracting more players than ever before. But the privacy and civil liberties concerns that go along with it are notgoing away.

Modern devices installed in casinos have built - in facial recognition tools that make it almost impossible for fraudsters to compromise the system. It is permissible to infringe on a person's privacy if someone has data that could give rise to reasonable suspicion, but prohibited by the Fourth Amendment's protection against unreasonable searches and seizures of personal data, and it is also a casino's duty to discard a face if that person has any data which would indicate something nefarious.

This is not to say that it is repulsive or intrusive to even approach customers who wish to remain anonymous, or that they can be offered a positive opt - in. It is to help vending machine operators reach out to their customers, who don't have a card, and take the time and effort of helping them reach them. There is no need to get in the way of the customer's ability to opt in, even if they are not currently a loyalty member.