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Casino doesn’t always win

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Casino doesn’t always win

There is a popular belief that casinos always win. However, this doesn't always hold true when it comes to online casinos.

In 2015 there was a huge scandal on the PokerStars platform where an enterprising Dane named Daniel Christiansen created over 200 fake accounts using different IDs in order to receive welcome bonuses.

Christiansen was able to operate all of his accounts at the same time and participate in poker games against his own accounts, losing bonuses to himself using special programs and scripts.

However, it never came to the withdrawal of money, because the security team managed to notice suspicious activity in time and conducted an investigation, as a result of which all the fraudster's winnings were canceled, and Daniel himself was disqualified from participating on any gaming platforms and prosecuted.

With the transition to the online segment, a large number of scams have appeared that are related to insufficient identification of the user, as a result of which the latter can resort to bonus hunting, multi-accounting and other ways of cheating online casinos. And despite the fact that a lot of time has passed since 2015, the methods of cheating online casinos have not changed - the scammers are still using the same techniques as 8 years ago.

Today, the most reliable way to protect against unlawful online actions by the user is biometric KYC (Know Your Customer) verification, which helps to authenticate a person's identity and prevent many forms of fraud associated with the use of stolen or forged identification data.

Understanding the pain points of this type of business, Biometric. Vision addresses this issue by implementing biometric KYC verification, both at the point of withdrawal and within the gaming process, to eliminate 100% of the fraud associated with multi-accounting, forks, drops and ghosting.

KYC verification from Biometric. Vision consists of three main technologies, each with a different function:

  • Liveness Detection - asks the user to take a selfie and determines that there is a live person in front of the camera, not a photo, video or mask.
  • Next, Document Recognition technology is activated - the system asks the user to point the smartphone camera at documents from both sides to scan and extract text, numeric and graphical data for later entry into a database.
  • Once the above steps have been completed, Face 2 Face Detection technology is used to compare the player's face with a photo from the scanned documents.

It's fast, fair and convenient, just like all the other Biometric.Vision technologies.

Follow our news and learn more about the application of artificial intelligence and facial recognition technologies in business processes, as well as new ways of fraud and how to prevent it in the digital environment.

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