Daltrey is integrating biometric technology from Innovatrics into its own identity and access management solution. Organizations can use the Daltrey platform to issue verified biometric credentials that can be used to log into work accounts or gain access to physical locations.
The biometrics-as-a-service platform is compatible with multiple biometric modalities, including face, fingerprint, and iris recognition, and can be customized based on the needs of the organization. Daltrey itself is particularly interested in Innovatrics’ passive liveness detection capabilities, which were introduced back in April. The technology is geared towards mobile devices, and adds an extra layer of passive security during a facial recognition scan.
“There is a growing need for more secure, seamless and convenient authentication spanning both physical and digital access scenarios,” said Daltrey Co-Founder and Managing Director Blair Crawford. “This partnership allows for an innovative approach to organizational security, helping governments and corporate enterprises create more secure, productive workplaces.”
“Daltrey will be the first solution to embed Innovatrics’ passive liveness technology into any digital access scenario,” added Innovatrics Head of Product Management Daniel Ferak. “Passive liveness check is the ideal solution for a non-intrusive, reliable, and seamless user experience when verifying identity online.”
Daltrey’s solution can be deployed for physical access control at doors and other checkpoints, or for digital security when applied to company applications. It can also be used to grant secure remote access to employees using their own devices, with Daltry providing middleware to allow customers to integrate the solution into their existing access management suite.
Innovatrics has been increasingly shifting its focus to facial recognition during the COVID-19 pandemic, which is in keeping with the growing interest in contactless authentication options like facial recognition. The company also claims that its facial recognition tech is still 95 percent accurate when identifying people who are wearing masks.
May 8, 2020 – by Eric Weiss