G3 Interview GAUSELMANN INDUSTRY SUMMIT
David Schnabel introduced Face Check at the Gauselmann Industry Summit
Face-Check was revealed for the first time at the Industry Summit. G3 spoke to David Schnabel, Head of Responsible Gaming at the Gauselmann Group about this new development.
The state-specific political working conditions are yet again bringing new challenges to commercial gaming in Germany. For example, operators in Hesse have been obliged by youth and player protection regulations since early 2014 to carry out entrance controls for every customer in order to check that the customer is at the legal age to enter and also compare data with the state- wide player ban file. Such entry controls are now in the meantime legally binding in further states. This places operators in front of great technical challenges. Data protection is here one of the central themes.
The solutions used in the state of Hesse, for example, requires checking all players in order to identify banned ones.
To ensure that a banned player cannot participate in gaming, then a comparison of personal data is made for each entrance without fail with the data of the blacklist.
That means that all guests – regardless whether they are banned or not – have to reveal their personal data on every arcade visit.
This goes against the wish of many guests for anonymi- ty and also their rights for data protection. The current method is also very arduous and susceptible to error.
Computer-based face recognition systems offer a much more promising alternative to the present way of con- trol. The development of such systems have undergone a quantum leap in the past years and so made this tech- nology available for more efficient control systems. That is why the Gauselmann Group has developed a variant as entry control for arcades with its Face-Check system with computer-based face recognition. This represents a maximum of comfort and technological
4 0 advancement for the operator and player alike.
Biometric processes check personalised features (thus without checking data on the person him- or herself) and these are non-transferable. These could be physio- logical or behavioural characteristics.
The most important characteristics that can be checked by a machine are: finger print, facial features, iris pat- tern, retina pattern, hand vein structure, hand geome- try, voice, signature, typing rhythm. The fingerprint sensors, face recognition systems, iris scanners, voice recognition systems and vein scanners are the ones that have established themselves in the market. Depending on exactness and user-friendliness, the systems are used in various application scopes. The typical results of properly implementing biometrics are an increase in security and ensuring more comfort of use.
Face recognition systems have the further benefit over other biometric systems that they are contactless and fast; they are self-explanatory and also can be used in many further areas as an extension of existing applica- tions that make use of photos or videos.
That is why we are entirely convinced that modern face recognition systems will positively change the entry systems in arcades.
The required camera technology is integrated near the entrance within the arcade interior design, thus invisi- ble for the players.
Most players enjoy gaming without any problems – these people should not need to be checked at the arcade entrance. That seems to be a strong advantage of Face-Check. Is that correct?
The comparison of image data with the blacklist (ban file) happens ANONYMOUSLY with NO WAITING TIME and recognisable BARRIERS within a few seconds. The focus is on recognising banned players and implement-
ing youth protection stipulations. Stigmatising the majority of players as potential problem gamblers then becomes a thing of the past.
The personified player data remains absolutely anony- mous and protected.
Only guests are identified and approached that have asked to be banned and whose image data is saved in the ban file. Despite identification, the players’ names remain anonymous.
How can you identify the players’ age?
The facial identity software can undertake age estima- tion based upon the individual aspects / physiognomies and gender of the players. Age estimation is especially a good tool to support youth protection controls in the arcades.
How does Face-Check work if a person covers their face, for example with a baseball cap??
The comparison of the biometric data follows independ- ently of what the person is wearing and so enables secure identification of banned players who attempt to bypass their identity check by changing their visual appearance, for example with:
l a beard l headgear l or other accessories.
The precondition for the comparison with the stored image data is the recognition of facial patterns/expres- sions.
If people enter the arcade and the Face-Check software does not recognises a facial pattern, then the staff is informed and the person involved is asked to pass by the camera area again to ensure a comparison can take place.
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