Brainworks and Gibraltar Technologies develop biometric apps to support COVID-19 recovery
Brainworks has launched an application with “ambient biometrics” and artificial intelligence capabilities to detect COVID-19 symptoms earlier by measuring personal health data, MediaPost reports.
The Medio Smart Health runs on desktop computers and mobile devices, tracking characteristics like heart rate, respiration rate, and skin tone changes that indicate blood oxygenation with an embedded or peripheral camera, running in the background as users go about their days. By analyzing skin colour, head micro-movements and even nostril flares, the application provides advice when users should seek testing or medical care.
The application also provides a CDC-approved questionnaire for COVID-19 screening, according to VentureBeat, which includes questions about the user’s temperature and sense of smell and taste.
Brainworks CEO Phillip Alveda is a former technologist at the Defense Advanced Research Projects Agency (DARPA) and NASA, and he believes the app can be provided for free with affiliate links, though he also told VB that paid premium features may be added in the future. The application is also reported to employ a privacy-preserving architecture. The data is not associated with identity information, Alveda says.
The technology was already in development as a solution for hospitals and clinics, but Brainworks pivoted to the consumer market when the pandemic struck.
Alveda suggests that in the future the application could detect other imminent medical issues, such as by predicting heat attacks.
Software for school CCTV cameras and a mobile app with biometric facial recognition to provide COVID-19 health and safety protocol monitoring has been developed by Gibraltar Technologies (GT).
The new Wai-Eye system captures, analyzes and generates data in real-time to help ensure controlled entry, pickup, and school visit procedures, screening and contact tracing, physical distancing and following of transportation protocols. The system provides mask detection, physical distancing and space occupancy data available through a plug-and-play app. The facial recognition feature can be used for attendance tracking and physical access control.
“In a bid to improve the accuracy of operations like contact tracing, mask detection and occupancy management, schools are currently on the look out for automated data driven solutions. This is where Wai-Eye comes in. We have already started working with school leaders and administrators to help implement their Readiness Plans in time to welcome children back to a safer environment in September,” states GT CEO and Executive Director Khadeer Peer Shariff.
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