The values had been recorded while evaluating in scenario 4 with added human shaped cardboard cutouts to get the entire variety of detected pedestrians to be thirteen. We observe that based on the FOV and sen
The values had been recorded while evaluating in scenario 4 with added human shaped cardboard cutouts to get the entire variety of detected pedestrians to be thirteen. We observe that based on the FOV and sensing areas of the two cameras, the corresponding computation occasions in the laptop computer and desktop are passable. As mentioned before, we use the thermal camera exclusively for COVID-19 symptom monitoring. We use our pedestrian detection scheme to detect and track people in the thermal photographs and the results are then sent to applicable safety or healthcare personnel who verify for COVID-19 symptoms corresponding to a fever. Such a system would be helpful in places where people’s temperatures are already measured by security/healthcare personnel similar to airports, hospitals etc. Monitoring people’s temperatures remotely reduces the chance of the security/healthcare personnel contracting the coronavirus while also defending people’s privateness.