20 January 2021 16:59 GMT
U.S. Customs and Border Protection (CBP) has announced the implementation of Simplified Arrival at the San Ysidro and Otay Mesa pedestrian border crossings in San Diego, CA.
Simplified Arrival, an enhanced international arrival process that uses facial biometrics to automate the manual document checks that are already required for admission into the United States, provides travelers with a secure, touchless travel experience while fulfilling a longstanding Congressional mandate to biometrically record the entry and exit of non-U.S. citizens.
“CBP is excited to announce the successful expansion of biometric facial comparison technology to the nation’s largest land border port of entry, San Ysidro, and the Otay Mesa pedestrian border crossing to further secure and streamline entry into the United States,” said Diane J. Sabatino, Deputy Executive Assistant Commissioner of Field Operations at U.S. Customs and Border Protection. “As part of our ongoing
20 January 2021 17:01 GMT
ID R&D, the award-winning biometrics and liveness technology provider, announced that the latest release of its passive facial liveness, IDLive Face 1.18, features algorithms that reduce AI bias across demographic groups. Inclusive product development is a top priority for ID R&D and a major focus of this release is closing accuracy gaps between ages, genders, and ethnicities.
As IDLive Face continues to experience rapid adoption by customers and partners across a growing number of countries, tackling the issue of AI bias emerged as a leading initiative. Addressing this industry-wide challenge includes investing in unbiased data collection and classification. A new machine learning pipeline in IDLive Face 1.18 further enables this initiative with improved model training for higher accuracy.
20 January 2021 17:07 GMT
iDenfy, an AI-powered ID verification company, and Manu, a behavioural analytics organization from Lithuania, have signed a strategic partnership. It allows iDenfy to offer an AI model developed by Manu that evaluates customer characteristics during the application process. This additional feature will help detect potential fraud or save on external registry costs.
Manu AI technology filters unqualified customers before onboarding by tracking behaviour (e.g., typing patterns) during their online form-filling process. The model is trained using real data on credit scoring, frauds, and loan performance, which enables it to predict the risk of potential customers solely from behavioural patterns.