As a pandemic outbreak that threatens the world, this project focus to minimize the community spread of COVID-19 especially during travel. The fever is turns out as a first symptom and later it turns out to a severe respiratory disorder that would even leads to death. Fever can show the variation in the body temperature after 4 hours of being tested. Hence, the chance of fever symptoms accelerated during the long travel time. So close observation and continuous monitoring of person is requires during travel. Therefore, a system is suggested that to monitor the temperature of passenger periodically and it uses thermal imaging technique. For abnormal variations in the temperature an alert is send to pilot system and also Emergency Operations Centre (EOC), National Transportation Safety Board (NTSB), Federal Emergency Management Agency (FEMA) by the smart IOT device. Smart Node MCU cloud system sends the alert message to the various aviation units. The thinkspeak is act as cloud storage & access of data for this applications. Social distancing is one criterion to avoid the spread of the virus but waiting area is the place where passengers wait for long time to be board to plane. People met other and cluster together with luggage’s in boarding zones. A proposed system reduces the risk of spreading to all the area by monitoring of passengers. Systems that calibrate the size of the waiting room and the person entering inside and leaving out is measure. With the factor of social distancing, the warning signal is trigger if a particular place is crowded with passenger.