Design and Development of Smart NonContact Thermometer Using the MLX90614 Sensor and Microcontroller-Based Face Recognition

Abstract

The Covid-19 pandemic is a period that must be passed by all groups without exception at
this time. The significant impact of the Covid-19 pandemic has made all people pay attention
to health anywhere and anytime. The transition period due to the existence of Covid-19,
which is quite a concern, is checking body temperature when entering a place or building
that contains a lot of mass such as shopping centres, offices, and so on. It is an obligation
that cannot be avoided for the sake of safety and health for everyone. The examination of
body temperature, in general, is through a thermometer close to the forehead. A few seconds
later, the temperature measurement results will be seen through the display on the
thermometer. Examinations like this are carried out alternately for each person so that there
is a risk of mass accumulation in that place if the mass is in a sufficiently large state.
Therefore, this research will provide a solution to reduce mass during body temperature
checks by building a Smart Non-Contact Thermometer using the MLX90614 temperature
sensor and face recognition technology assisted by a NodeMCU microcontroller. MLX90614
is a temperature sensor that can measure temperature remotely without making direct
contact with the object to be measured. This sensor determines the temperature of an item by
knowing the thermal radiation emitted by the object. Meanwhile, face recognition is a facial
recognition technology that works by detecting human faces and scanning them in 2D or 3D.
The microcontroller that helps integrate all components is the NodeMCU, which works as a
data receiver from the MLX90614 sensor. The face recognition camera will then generate
information in the form of a warning if someone has an above-average body temperature.