U.S. healthcare network integrates TensorMark’s AI, facial recognition to make returning to work safer

TensorMark has partnered with health system University Hospitals to provide it with AI and biometric facial recognition technology to make returning to work seamless amid COVID-19, the company announced.

With 18 hospitals, over 50 outpatient health centers and more than 200 physician offices in Ohio, University Hospitals will leverage computer vision to re-open offices, restaurants and entertainment services. It will ask for consumer consent to use their COVID-19 test results to develop a real-time platform that venues can use to see the person’s test results and prevent the virus from spreading. Testing will be conducted in compliance with guidelines and privacy laws, including HIPAA.

“Working with TensorMark allows us to design an identity solution built around consumers’ preferences to safely, securely and efficiently validate a person’s recent results,” said Robert Eardley, CIO of University Hospitals, in a prepared statement.

“TensorMark’s technology can be deployed via a wearable (e.g., VUZIX Blade), smartphone, or mounted device at the entrance of a certified location to validate an individual via facial recognition,” said Andrew Jacobson, President of TensorMark, in a prepared statement. “Based on such validation, locations are able to take a number of different actions from fast tracking an individual for entrance to automatically unlocking and opening doors.”

Following the partnership, employers will have the possibility to test their employees and use the technology as the “stamp of approval” and confirm the employer as “TMCertified.”

TensorMark AI and computer vision tech for facial recognition was recently integrated with the AR-enabled Vuzix Blade Smart Glasses.

Article Topics

access management  |  AI  |  artificial intelligence  |  biometrics  |  facial recognition  |  identity verification  |  TensorMark