$GTCH "Imagine a qTerm user that is currently located in Phoenix, AZ outdoors during summer time. The outdoor temperature will cause the user's skin temperature to be elevated and, therefore, the data reading will be inaccurate. qTerm will alert about taking the measurement in an area of extreme surrounding temperatures, advising to go into a more climate controlled zone like indoors environment," said Danny Rittman, GBT’s CTO. "Another example is taking the temperature in New York City in the outdoors. The user's finger tip will be cold which will cause inaccurate results. We are implementing another circuit within our qTerm device to measure the user's environment temperature, alerting in case of extremes. In addition, our backend program will verify the measured ambient temperature, taking the data from online resources, according to the user's location. Together with the electronic circuit, which is a high-precision digital temperature sensor actual results, qTerm will reach a conclusion about alerting the user or not. A supporting code will be developed in order to create a pre-temp measurement procedure to ensure optimum ambient temperature before checking the body temperature. We focus on accuracy and reliability of human vitals and would like to ensure optimum conditions for data measurement. Additionally, we may use the ambient data at the 'system' level for further analysis purposes. qTerm AI software will be using the data to further analyze and record the user's information for future use," continued Danny Rittman, GBT’s CTO.
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