Thermal systems are nothing new, used by fire fighters and TSA alike they have been instrumental in helping to identify suspicious heat signatures in a crowd. Traditionally they have been heavy, expensive, and considered an infrastructure or operations investment. While a fever alone does not indicate the pathology of a disease, it is a common indicator of infection. Our goal was to miniaturize and automate these technologies to make then part of the Personal Protective Equipment (PPE) portfolio.
The Black Swan Down Thermal Intrusion systems are designed to be worn as standard lab glasses with a wrist sleeve - keeping the user's hands, eyes, and ears available to do their mission and providing visual, audible, and tactile vibration alerts. By setting up a virtual fence, it creates a security perimeter protecting the wearer and allowing them to consent if they are willing to accept the risk of interaction. Let the system scan for you in low power mode, when there's an individual with a temperature over your risk temperature setting alerts are issued and the screen can be turned on to survey the scene. Additionally packing a localized neural network, Machine Learning allows the system to specifically identify and track human figures; thus, eliminating the false positives from a hot cup of coffee or radiator in the background.