iProov awarded funding to test mobile biometrics in CBP operational environment
The U.S. Department of Homeland Security has awarded iProov $198,407 in phase four funding to pilot its Genuine Presence Detection and biometric anti-spoofing capability in a full-scale operational environment of DHS’ Customs and Border Protection (CBP).
The award was made through the Silicon Valley Innovation Program (SVIP) following development over the first three project phases. CBP is seeking to streamline cross-border travel at ports of entry while also identifying travelers and their status with a high degree of confidence, according to the announcement.
The facial verification solution developed by iProov over the first three phases involves travelers using their personal devices to report their entry and exit of the U.S. to CBP through a secure and privacy-focussed mobile application without requiring the direct involvement of a CBP officer either in person or online.
“A critical challenge when delivering digital services that require some manner of identity verification is the need to ensure that the entity being verified is a real live human and not a replica or a recording,” states Anil John, SVIP technical director. “The pandemic has accelerated the need for high-value remote digital service delivery, and iProov has now adapted its technology to provide their anti-spoofing solution to a broad range of applications.”
The iProov SDK with the company’s patented Flashmark technology will be deployed and integrated into a mobile application pilot deployment run by CBP to test and validate it in an operation setting. The technology detects spoofs like replica documents, altered imagery, and replay attacks without relying on specialized or trusted hardware.
The company explained the difference between its Genuine Presence Detection and biometric liveness in a recent blog post.
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Article Topics
biometric liveness detection | border management | CBP | DHS | funding | identity verification | iProov | mobile biometrics | pilot project | spoof detection
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