ClientScan, an innovative facial recognition solution developed by experts and advisors from Oxford University’s Visual Geometry Group, aims to enhance the safety and well-being of self-excluded gamblers. By leveraging artificial intelligence (AI) technology, ClientScan swiftly detects and recognizes self-excluded players, providing real-time alerts to staff when an individual enters a gambling establishment.
The Significance of ClientScan in Self-Exclusion Enforcement:
ClientScan addresses the challenges of self-exclusion within the UK gaming sector by offering a low-cost, efficient, and accurate solution. By storing self-excluded individuals’ information, including images, on a secure cloud platform, the facial recognition software can rapidly identify them in less than one-tenth of a second, boasting an impressive accuracy rate of over 99%. This technology enables gambling operators to prioritize customer safety while complying with self-exclusion regulations mandated by the Gambling Commission.
The Functionality and Technical Aspects of ClientScan:
ClientScan operates seamlessly on standard Microsoft Windows PCs equipped with webcams. After installation, the system’s real-time camera surveillance identifies self-excluded gamblers as they enter a shop or gambling establishment. Instant alerts are then sent via the ClientScan app, WhatsApp, or email to the on-site staff, providing crucial information such as the individual’s name and self-exclusion period. This streamlined process enables immediate intervention to prevent self-excluded individuals from engaging in gambling activities.
Leveraging AI for Enhanced Speed, Accuracy, and Security:
ClientScan’s development involved the creation of a custom Convolutional Neural Network (CNN), tailored to address the specific requirements of self-exclusion in the UK gaming sector. This CNN ensures exceptional speed and accuracy in facial recognition while upholding stringent security measures. By harnessing AI algorithms, ClientScan optimizes the identification process, mitigating false positives and negatives, and enhancing overall system performance.
Safeguarding Responsible Gambling and Player Well-being:
The deployment of ClientScan by gambling operators signifies their commitment to responsible gambling practices and player protection. By promptly identifying self-excluded individuals, operators can prevent them from accessing gambling premises and receiving associated incentives. This proactive approach promotes the well-being of vulnerable individuals and helps combat problem gambling, fostering a safer gambling environment.
Compliance with Regulatory Frameworks:
ClientScan has gained the approval of Microsoft and adheres to the regulatory framework set forth by the Gambling Commission. Its development focused on meeting the strict compliance requirements imposed on the gambling industry, ensuring operators meet their obligations regarding self-exclusion. By utilizing this AI-driven solution, gambling establishments can confidently fulfill their responsibilities while prioritizing the safety and satisfaction of their customers.
ClientScan represents a pioneering advancement in the protection of self-excluded gamblers. Through its integration of AI-driven facial recognition technology, this innovative solution enables gambling operators to swiftly detect and alert staff about self-excluded individuals entering their premises. By combining accuracy, speed, and security, ClientScan empowers operators to fulfill their regulatory obligations, promote responsible gambling, and prioritize the welfare of their customers. As the gaming industry continues to evolve, such technologies play a crucial role in maintaining a safe and enjoyable gambling experience for all.