$GTCH on radar! "Our qTerm vitals device prototype

$GTCH on radar! "Our qTerm vitals device prototype has been completed and now under intensive testing and debugging. We are excited to see its features coming alive," stated Danny Rittman, GBT’s CTO. "As with typical developments of this nature we encountered minor mechanical alignment issues due to the PCB fabrication. These were addressed in order to create an optimal mechanical support for the sensory systems. The really exciting news is that the electronics are 100% working according to the design. We are now testing each individual function of the device; among them are the Low Energy Bluetooth communication, the infrared heat sensors, the oximeter, which is the blood oxygen optical sensors, power consumption and others. We are also testing system level functions and features. We are focusing on evaluating each electrical and mechanical aspect, like sensor distances, accuracy, ease of use, and battery life. The PCB has been manufactured using SMT which enables smart, robust electronics within small areas. We embed the device's firmware and are now going through a sequence of functionalities testing and debugging. The firmware is a machine level program that is controlling qTerm's operations. The firmware is in charge of executing system level and active features. For example, measuring the ambient temperature as a reference is a system level function to be used for the purpose of proving an accurate active function of body heat measurement. In parallel we are testing the device connection with its mobile application via Bluetooth. The mobile application will provide numerical and statistics information based on the device's electronic results. The app is designed to send the data to a machine learning based backend program for further analysis. qTerm mobile app enables a voluntary, anonymous, proximity alert notification in order to help users and the community fight the pandemic spread. The app is designed to detect and alert in case another person, with the same app, and with elevated body temperature, is in proximity of 6 feet. The app will exchange a secure code with the other phone to record that they were near. Our AI technology will analyze the measurements results in order to identify potential health issues. In case of potential health issue detection, the system will alert the users in order to reduce the potential exposure risk to their families, friends, neighbors, co-workers and others. We put extra attention to the user's privacy and data protection. We are making all of our efforts to complete the testing as soon as possible in order to move to the full production of qTerm."