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AIRVIZIO, has successfully developed an AI Infrared Thermometer with Facial Recognition to help Malaysia to battle coronavirus (COVID-19). The system’s best practice of public disease control in Schools, Hospitals, Government and terminals use VIZIOSCAN to effectively differentiate high body temperature individuals from the general public.

As there is no effective medicine curing coronavirus (CoViD-19) so far, the only strategy to slow down the rapid contagion is the isolation of confirmed coronavirus cases as well as the suspected cases. Large scale crowd body temperature scan proves to be an effective and necessary method as high body temperature is the most conspicuous symptom. AIRVIZIO with build-in A.I. algorithm and chips calculates 3 trillion times per second for body detection of up to 100 individuals. The A.I. algorithm is crucial in forehead temperature measurement which will improve efficiency by 15 times.

Moreover, body temperature measurement with traditional infrared thermal is constantly disturbed by environment conditions. In multitarget temperature measurement, precision is crucial that 0.3 degree variation may mislead the disease control for healthy individuals and high body temperature ones. AIRVIZIO develops the first dual black body calibration algorithm to calibrate the temperature at the precision at 0.2 degrees.

As a large infrared system relays on infrared radiation to evaluated surface temperature, distance is another variation of measurement. That’s why a normal infrared scanner only measures temperature in 2-3meters, and people 10 meters away will indicate extremely low temperatures. AIRVIZIO developed the first distance-radiation compensation algorithm so that the temperature far away can be measured accurately. This is only possible with the advanced AI technology with IoT capability.

AIRVIZIO is now seeking global partners to share its experience of anti-coronavirus globally. After the epidemic, AIRVIZIO will offer upgrade suites to extend further functions like big data analytics.