Enhanced Pyrometric device with Long Range for mass screening based on MLX90614

This paper describes a novel data analysis algorithm for increasing the range and accuracy of non-invasive IR based temperature sensors that have been widely used to check for elevated body temperatures (EBT) during the Corona pandemic. Our algorithm considers factors like humidity, distance, ambient temperature, and emissivity. A device was made that could deploy the algorithm and perform tasks like EBT detection, mask detection, face detection and face recognition and subsequently store the inferences of all these models on a cloud or local sever accessible via http requests.