FB pixel

Neurotechnology’s SkyBiometry improves biometric cloud face detection algorithm

 

Neurotechnology subsidiary SkyBiometry has launched a new version of its biometric face detection and recognition algorithm with significant accuracy enhancements and a wider range of facial attributes used it the detection process, according to a company announcement.

The latest face detection algorithm locates more faces in more varied and difficult conditions and at multiple head rotation angles, up to and including full profile. Face recognition accuracy is increased by up to five times, when set at a low False Acceptance Rate, the company says. Other algorithms within the API for facial-feature point detection, face image quality estimation, and face properties and emotion classification have also been improved.

“The new features made available in the latest version of the SkyBiometry facial algorithm were added and augmented based on customer feedback,” says Dr. Justas Kranauskas, head of the biometric research department for SkyBiometry and Neurotechnology. “More accurate face detection and face recognition algorithms continue to make our service unique, and the additional attributes will help our customers expand the scope of their SkyBiometry API applications.”

SkyBiometry can now determine race or ethnicity, and if a person is wearing a hat, or has a beard or mustache, in addition to previous capabilities for determining gender, age, and emotion, and detecting dark glasses, closed and open eyes, and other facial properties. The SkyBiometry API can be used for face detection, recognition, grouping, and attribute determination applications. These include identifying and cataloguing images for photographers and others who work with large databases, as well as in developing time and attendance software, marketing and entertainment applications.

The service is available as a free subscription for up to 5,000 monthly calls, and a database capacity of up to 1,000 trained tags (faces).

The company notes that its algorithms placed in the top ten among all vendors in NIST Facial Recognition Vendor Test (FRVT) 2018, and is in the top 15 out of 82 vendors in the FRVT Ongoing in the “wild” category.

The cloud biometrics market is expected to be worth $2.7 billion by 2024.

Article Topics

 |   |   |   |   | 

Latest Biometrics News

 

Growth of digital wallet use shaking up payment regulations and benefits delivery

Digital wallets are transforming online, offline and cross-border payments around the world, prompting calls for regulatory change in Australis and…

 

Sardine nets $70M in Series C funding for automated fraud prevention platform

Sardine, a startup that employs machine learning for fraud prevention, compliance and credit underwriting, has announced a $70 million Series…

 

Indonesia aims to boost digital ID uptake in bid for greater efficiency

Indonesia is digitizing its civil registration services in a bid for greater efficiency as the country’s citizens enjoy improved convenience…

 

Ondato’s biometric age verification joins NIST leaderboard

Ondato has joined the U.S. National Institute of Standards and Technology evaluation of age assurance algorithms in the latest update…

 

Digital identity strengthens super wallets, transforming India’s DPI

India’s digital transformation has been accelerated by its digital public infrastructure (DPI), a framework that enables seamless digital services through…

 

AU petitioned over legal ID discrimination suffered by Kenyan minority group

Legal representatives of a human rights group, Nubian Rights Forum (NRF), have submitted a petition to the African Union (AU)…

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Viewed This Week

Featured Company

Biometrics Insight, Opinion

Digital ID In-Depth

Biometrics White Papers

Biometrics Events