FacePhi has achieved strong results in the U.S. Department of Homeland Security’s latest face liveness detection testing program, demonstrating a remarkably low error rate of less than 0.2 percent in detecting genuine users. The evaluation was conducted as part of DHS’s Remote Identity Validation Technology Demonstration (RIVTD) Track 3 assessment at the Maryland test facility.
The comprehensive testing evaluated algorithms’ abilities to detect various types of presentation attacks, including basic printouts, paper masks, and sophisticated spoofing attempts requiring specialized hardware. FacePhi’s technology showed consistent performance across different smartphone models and demonstrated minimal demographic bias in its results.
This achievement follows FacePhi’s previous success in passing Level 2 of iBeta’s Presentation Attack Detection testing, establishing a pattern of strong performance in independent security evaluations. The company’s latest results in the DHS testing program particularly stand out for their accuracy in distinguishing genuine users from fraudulent attempts.
The RIVTD program, conducted under DHS Cooperative Research and Development Agreement No. 24-TCBI-008, represents part of a broader government initiative to evaluate and improve remote identity verification technologies. These assessments have become increasingly important as federal agencies like the TSA explore wider implementation of facial recognition systems for security applications.
Source: FacePhi
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March 13, 2025 – by the ID Tech Editorial Team
