Development of Human Body Temperature Detection System Based on the Internet of Things with Voice Features

Abstract:

This research aims to design a human body temperature detection system based on the Internet of Things (IoT) and featuring the output with human voice. The implementation of the IoT concept using the MQTT Protocol. The stages in developing this system are needs analysis, design, develop, testing and evaluation. Principally, this system works as follows, once the temperature sensor detects a human temperature, the microcontroller will process this temperature data (1) convert the data into human voice and (2) sending (publish) the data to a web server in the internet. In this research uses Adafruit.com as Mqtt broker. Anyone subscribes to the feeds of the Adafruit will receive such temperature data automatically. To determine the output of the human temperature we must adjust with +3 from the original result of MLX90614 in the normal room temperature. By this adjustment we have the best of error average 0.96% and an average difference of result 0.35°C. It means, by adjustment +3 from the original result of the sensor will conform with the standards of IEC No. 13B-23 and the 13th revision of Melexis in 2019, where the maximum of error tolerance is 5% and the temperature difference is 0.5°C. For distance testing, the result is that the farther the object from the MLX90614 sensor will result the greater errors value and the object closer to the sensor, will result the smaller error. The average delay time to send data to the Adafruit Webserver and android application is 1.53 seconds.

• Periodical: Advances in Science and Technology (Volume 128)
• Pages: 39-48
• DOI: https://doi.org/10.4028/p-4PoXD9
• Online since: July 2023
• Authors: Rustam Asnawi*, Deny Budi Hertanto, Umy Rahma Damayanti, Bakti Tri Haryanto, Ismail Raihan Hidayatullah
• Keywords: IoT, MQTT Protocol, Temperature Sensor

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