IREX is proud to announce an upgraded version of its anti-spoofing detector, a pivotal component of its ethical suspect recognition system. This enhancement significantly reduces the APCER (“Attack Presentation Classification Error Rate”) from 5% to a mere 1%. This advancement promises fewer false alarms and increased accuracy in detecting potential threats.
Central to biometric access controls, biometric payments and public space suspect screenings, the IREX system is designed to swiftly identify missing children, convicted criminals, repeat sex offenders, terrorists, and more, subsequently issuing real-time alerts to crime centers and local security offices. It's noteworthy to mention that while the system is powerful, IREX maintains a stringent commitment to privacy by refraining from recording personal data of innocent bystanders.
Our sophisticated anti-spoofing neural network is adept at thwarting the most prevalent forms of spoofing attacks on biometric systems. These include attempts to deceive the system using printed photos or faces displayed on mobile devices. On detecting any such dubious activity, the system promptly sends an alert to the control room, ensuring timely intervention.
As we continue to harness the potential of ethical AI for public safety, IREX remains dedicated to enhancing security measures while respecting the human rights and ethical standards of free societies. Our collaboration with partners like the National Child Protection Task Force exemplifies our commitment to creating a safer world for everyone.
