TensorMark and University Hospitals Announce a Strategic Initiative to More Safely Jumpstart the Economy Using Computer Vision and COVID-19 Testing

Thursday, May 21, 2020

University Hospitals and TensorMark announce a strategic initiative to utilize computer vision and artificial intelligence technology to provide a solution for the COVID-19 pandemic and re-entering the new economy

CLEVELAND – TensorMark, Inc., a US cloud-based AI and computer vision technology provider, and nationally recognized University Hospitals, a health system comprised of 18 hospitals, more than 50 outpatient health centers and over 200 physician offices, announced today a strategic initiative to make returning to work, restaurants, and entertainment safer. 
The solution will utilize TensorMark’s AI and computer vision/facial recognition technology to allow consenting consumers to leverage their personal COVID-19 test results and create a real-time platform that employers, retail venues, sports arenas, and concert venues can use to validate a person‘s recent results for the COVID-19 virus.
Only permission-based consumer information will be included in the databank based on testing in compliance with University Hospitals 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,” says Robert Eardley, CIO of University Hospitals.
“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,” says Andrew Jacobson, President of TensorMark. “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.”
“While States are gradually reopening their economies based on strict physical distancing guidelines, a full economic recovery is dependent on the ability to facilitate very safe large public gatherings of people at festivals, concerts, sporting events, and other venues. A protocol based on testing and facial recognition can be the key to allow those gatherings to occur in a manner that will both provide public confidence and also prevent the spread of the virus,” says Scott Wolstein, real-estate developer and TensorMark advisor. 
TensorMark’s and University Hospitals’ goal is to help ensure a safer and healthier environment outside of an individual’s home as well as increase confidence in the safety at participating employers and locations.  Employers can have the ability to test their staff and have the technology be the “stamp of approval” by stating the employer is “TMCertified” that all employees are safe and healthy, which will be incredibly valuable for the hospitality industry.

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