Here at Facephi, we continue to reassert our leadership in digital identity technology with our participation in the RIVTD Track 3 test:Face Liveness Detection, organised by the US Department of Homeland Security (DHS) and its Science and Technology Directorate (S&T). This evaluation analysed the precision and robustness of different algorithms for the detection of presentation attacks in biometric authentication environments. Our presentation attack detection solution obtained an outstanding score, consolidating its high level of precision and reliability in biometric security.
Presentation attack detection evaluation: rigour and multiple attack scenarios
The evaluation was carried out using selfies captured with the main market smartphone models. In addition, algorithms were submitted to three types of presentation attacks to measure their effectiveness:
- Class A: printing hard copy and screen visualisation.
- Class B: paper masks and video playback on screen.
- Class C: Sophisticated attacks that require specialised hardware and a significant investment in resources.
Outstanding results for Facephi: precision and fairness
Our presentation attack detection technology has recorded exceptional results, standing out for its consistency in terms of video analysis on different devices and consolidating the robustness of our biometric solution. What’s more, our algorithm did not reveal any significant biases by demographic group, reasserting our commitment to inclusive, equitable technology.
In terms of usability, our technology attains a BPCER (Bona Fide Presentation Classification Error Rate) of less than 0.2%. This not only guarantees high precision in terms of the identification of genuine images, but it also translates into a frictionless experience for users, minimising false rejections and allowing speedier, more secure access to digital services.
Continuous innovation for a more secure digital identity
These results bear testimony to the constant effort of our R&D team, which works to develop increasingly secure, precise and accessible solutions. The evaluation on the RIVTD Track 3 strengthens our commitment to innovation and continuous improvement, ensuring that our clients have the most advanced tools for biometric authentication and fraud prevention.
Here at Facephi, we are still committed to excellence in digital identity, bringing our technology to new levels of reliability and usability, and marking the path to a more secure, frictionless future.
“This publication is based upon work conducted under the U.S. Department of Homeland Security Cooperative Research and Development Agreement No. 24-TCBI-008.”
“The opinions and/or conclusions contained herein are those of the author(s) and should not be construed as necessarily representing the official policies, either expressed or implied, of the U.S. Department of Homeland Security (DHS) and do not constitute an endorsement by DHS of the equipment tested or evaluated.”
“This information was determined based on demonstrations and evaluations conducted at the Maryland test facility as part of the Remote Identity Validation Technology Demonstration conducted in 2024 under a Cooperative Research and Development Agreement.”
