CustomerTrack has engineered facial identification technology to assist companies in monitoring persons who have opted for self-quarantine. This economical program operates on any typical Windows PC equipped with a camera.
Crafted with guidance from visual geometry specialists at Oxford University, CustomerTrack safely archives data about self-quarantining individuals, including their images, in secure online storage. The program can then pinpoint these individuals with 99% precision rapidly using any standard camera.
When a person on the self-quarantine roster enters a location, the system immediately detects them and notifies personnel via the application, WhatsApp, or electronic mail. The notification comprises the individual’s identity, their remaining self-quarantine duration, and other pertinent details.
This innovation enables businesses to prioritize the health and security of their workforce and patrons while guaranteeing adherence to self-quarantine protocols.
Laura Bedborough, a key figure in ClientScan’s inception and head of outreach, expressed enthusiasm for their latest offering, deeming it revolutionary for the online gambling sector. She stressed that ClientScan is among the pioneering AI-driven platforms dedicated to safeguarding self-excluded players. This marks a crucial stride in responsible gaming, guaranteeing that individuals requiring a gambling hiatus can do so securely and efficiently.
Bedborough underscored the company’s dedication to employing state-of-the-art technology, elaborating on how their system leverages bespoke convolutional neural networks. This facilitates exceptionally swift and precise identification, all the while upholding the utmost levels of data protection and user confidentiality.
ClientScan is purpose-built to address the distinct obstacles confronting the UK’s gambling industry, operating within the UK Gambling Commission’s framework to cultivate a secure and responsible gaming landscape for everyone.