WALTHAM, MASSACHUSETTS — GET Group North America, a provider of end-to-end solutions for secure credentials with over 20 years of experience in identity management, today announced a partnership with Secure Planet, an I3 affiliated company, which provides facial recognition-based solutions of the highest overall quality, security and value to U.S. Government, industry and commercial clients. Under the terms of the agreement, Secure Planet’s cutting-edge facial recognition technology will be incorporated in select GET Group NA offerings, including its CoreID Personal Data Management System (PDMS) and its GET mID™ Digital Identity Solution.
Secure Planet’s facial recognition solutions are developed in the U.S. and built around the state-of-the-art Rank One Computing facial recognition algorithm. They can be deployed in hand-held or man-portable modes depending on customer requirements. Facial extraction and matching from still imagery and videos are available in both modes, in a connected or disconnected environment and over a variety of distances.
“Secure Planet has led the pack in terms of developing a facial recognition algorithm that provides the highest degree of accuracy, quality and performance,” said Gerald Hubbard, Director of Marketing and Communications, GET Group North America. “By incorporating their technology into our offerings, we will best enable government agencies, motor vehicle departments, municipalities, law enforcement organizations and corporate enterprises to implement optimal identity management solutions.”
Secure Planet offers a mid-range facial recognition capability that can leverage facial images captured via streaming video. It can collect and match unconstrained faces from individuals at ranges between five and 350 meters in daylight conditions. Images that are seamlessly extracted from the streaming video can be automatically matched against a database of millions of individuals without a network connection to remote computing resources. Similarly, its mid-range still-image facial recognition solution can collect still-images of unconstrained faces of persons at ranges between five and 350 meters in daylight conditions.
“We strive to consistently test and improve our facial recognition algorithm in order to provide the most accurate offering possible,” said Dr. Doug Dyer, Chief Scientist at Secure Planet. “Like us, GET Group is committed to proving the best and most effective solutions for managing identities. The combination of our technologies will allow governments and organizations to help prevent identity fraud and grant correct access to only authorized individuals.”
About GET Group NA
GET Group North America is an experienced provider of high-assurance security solutions that enhance Identity, Credential, and Access Management (ICAM) operations. As a leading-edge systems integrator, GET Group NA and its partners design, manufacture, and implement end-to-end solutions for secure credentials that enable government agencies, motor vehicle departments, municipalities and law enforcement organizations to implement the latest in identity management technologies. From photo ID cards to driver’s licenses to passports, GET Group NA delivers advanced personalization capabilities that prevent identification fraud and accommodate diversified customer needs.
About Secure Planet
Secure Planet, an I3 affiliated company, is a Service-Disabled Veteran-Owned Small Business headquartered in Arlington, Virginia. Secure Planet comprises PMP certified personnel, senior biometric system developers, test engineers and subject matter experts with global deployment and operational expertise who provide solutions of the highest overall quality, security, and value to U.S. Government, industry and commercial clients. Secure Planet has demonstrated product-delivery success including 300+ Biometric Identity Verifiers (BIVs) to SPAWAR Atlantic and the sale of TacID Mobile, an Android and iOS based facial recognition application and TacID Workstation, a Windows and Linux based application, to the U.S. Government.
Read about how facial recognition technologies can be incorporated into digital IDs: