GN: Where have you gotten traction since the start of the pandemic? What specific hospitals or partners?ĬT: We've had significant demand for the solution.
OVERHEAD SCANNER LARGE INSTALL
Integration to the EMR or other applications is not a must, which allows us to install the solution more quickly. above 100 degrees) occurs, staff are notified immediately via the care.ai app. As persons enter the facility a temperature screening occurs. Hospitals most commonly install the thermal entry solution at facility entrances. GN: How does integration into a hospital work, both from a workflow and a logistical standpoint? How long until a new client can be up and running?ĬT: A new client can be implemented in a matter of a few days, sometimes even a few hours. As a result, we're able to provide a very accurate "touch-free" temperature reading within. In combination, we also process numerous data points within the room's characteristics. In real-time our neural network analyzes numerous points of the face over a period of 1-3 seconds. Our AI algorithms observe multiple facial characteristics to execute a temperature screening. GN: What facial attributes correlate to infections or illness in general? How targeted or precise can we get with respect to a specific infection like COVID-19?ĬT: Our platform leverages a sensor fusion stack, built with multiple sensors including a thermal sensor. I reached out to Chakri Toleti, founder and CEO of care.ai, to learn more about the facial recognition technology and its place in the escalating crisis. Is it feasible to bolt on new technology systems as bandaids for deeper and longstanding structural issues? Much of the response to COVID-19 infections has been ad hoc, pointing to a lack of vital preparation across a variety of sectors, healthcare foremost among them. There are also questions about market adoption. The technology raises tantalizing possibilities, but could ring alarm bells about how its being rolled out. Tampa General Hospital installed the technology to the remaining six entrances of the facility that are still open. This allows hospitals to screen visitors for fever and help reduce the spread of COVID-19 within the hospital. A company called care.ai is working with hospitals to screen visitors by analyzing facial attributes such as sweating and discoloration as well as data from a thermal scan. Hospitals are turning to artificial intelligence and machine vision to help with the spread of COVID-19 in novel applications that feel straight out of science fiction.