ClientScan, a facial recognition company, has introduced a new AI-powered system designed to safeguard self-excluded gamblers.
Experts and advisors from Oxford University's Visual Geometry Group created ClientScan.
Information, including an image, is kept on a secure cloud environment in the event that a gambler decides to self-exclude from in-person gambling. The facial recognition software has an accuracy rate of over 99% and can identify players who have self-excluded in less than a tenth of a second.
Experts and advisors from Oxford University's Visual Geometry Group created ClientScan.
Information, including an image, is kept on a secure cloud environment in the event that a gambler decides to self-exclude from in-person gambling. The facial recognition software has an accuracy rate of over 99% and can identify players who have self-excluded in less than a tenth of a second.