When we first brought this to Apple in 2017 to license our proactive contact tracing health identity solution, we thought we could do a world of good with our technology; Apple thought I was crazy. Yet here we are with the Covid-19 pandemic. 
- Dr. Robert Adams

Identifying Asymptomatic SARS-CoV-2 (Covid-19) Individuals

As SARS-CoV-2 (Covid-19) continues to spread around the world, there is no working vaccine nor is one expected in the coming year. The primary way to curb the uncontrolled spread of SARS-CoV-2 (Covid-19) is to identify asymptomatic/sick individuals at border crossings, facility checkpoints, and at healthcare facilities and restrict any vectors for further infection of the population.

For the past 2 years, our team has been researching many diseases and their symptoms even before the emergence of SARS-CoV-2 (Covid-19). With SARS-CoV-2 (Covid-19)’s rapid emergence to that of pandemic levels, our company’s findings seem ever more relevant in the current climate.

Since February 2020 we have been looking at SARS-CoV-2 (Covid-19) and how we can use our UID Health Identity biometrics technology for the SARS-CoV-2 (Covid-19) pandemic. Our team discovered that with the right technology, we can easily identify infected asymptomatic individuals.

Our artificial intelligence (A.I.) methodology relies on near-infrared *(NIR), Ultrasound, and/or chemosensory detectors, trained with a library of normal morphology and known SARS-CoV-2 (COVID-19) infection attributes, to compare individuals scanned in real-time to identify infected individuals, even if asymptomatic, for referral for further, confirmatory testing.

Fig 1. Using CMUT/Ultrasound

Symptoms Invisible To Temperature Checks But Visible To UID™

UID™️ is a unique method that requires no temperature checks (which have been proven to be of little use in catching asymptomatic SARS-CoV-2 (SARS-CoV-2 (Covid-19) super-spreaders. It’s been proven that such people can circumvent temperature scanning using fever-suppressing medication such as Paracetamol/Tylenol or other NSAIDs to reduce fever like symptoms.

UID™️ is used for vascular identity, we found it can also look within the vasculature for blood flow constriction and/or reduction of flow of oxygenated hemoglobin that then shows up as reduced vascular clarity when the person is infected with SARS or COVID. Clean healthy blood flow, in contrast, would be full of oxygen if depicted in a 3D NIR of the finger.

Rapid Screening

Fig 3. Near Infrared scan results.

Using our custom NIR, infected asymptomatic individuals when scanned would show up as half black, thus reduced oxygenated hemoglobin (an almost black image is clearly defined as sick or lacking proper oxygen levels). Compare to healthy flow of oxygenated hemoglobin in figure 3.

An organization can easily set up a system and, in under 5 seconds each, scan every person at airports in all countries. This technology quickly identifies the typical attributes of the infection prior to passenger boarding the airplane or leaving the arrival gate reassuring authorities that the passenger is not infected with SARS-CoV-2 (Covid-19) or requires additional testing and quarantine. This could easily be rolled out for pennies and rapidly deployed to all offices and buildings on a global scale.

The future is an easy to use scanning method for asymptomatic individuals

Our testing as of 17 Aug 2020 involved 100,000 individuals, with an accuracy of 99% in identifying sick-symptomatic, infected-asymptomatic, and healthy individuals during our identity screening for UID™️. Any infected-asymptomatic or sick individuals were then verified with a clinical test if they scanned positive for SARS-CoV-2 (Covid-19) in the pre-screening using our NIR system.

As always, we recommend you run your own NIR or CMUT tests to see that this will work and design your AI to look for the attributes of the infection, then deploy the method and open up the world to HELP to stop the SARS-CoV-2 (Covid-19) spread.


Our U.I.D.™ system can be deployed in almost anything that you currently interact with on a daily basis and/or used to automate health monitoring and identification — saving millions of lives when the next healthcare disaster strikes.