Kazi Kutubuddin Sayyad Liyakat | International Journal of Chemical Separation Technology | Vol 10, Issue 01 | pp. 8-14 | ISSN: 2456-6691
Abstract
Despite its long history in human society, alcohol consumption has a substantial negative impact on
health and accidents. Worldwide, drunk driving is a leading factor in traffic fatalities and accidents.
People still drive while intoxicated, endangering both themselves and other drivers, in spite of strong
legislation and awareness programmers. Using Blynk and Node MCU, an Internet of Things-based
alcohol detector had been created in response to this problem with the goal of preventing drunk driving
and enhancing road safety. A device called alcohol detector serves to measure the amount of alcohol
present in a person's breath, urine, or blood. A gas sensor built into the device calculates how much
alcohol is in the individual's breath. The sensor has been coupled to the NodeMCU, and that's
connected to the Blynk app. The device's gas sensor calculates how much alcohol the user exhales and
sends the data to the Node MCU. Through a mobile application, users can operate and keep an eye on
linked devices with the Blynk IoT platform. The portability of this Internet of Things-based alcohol
detector is one of its biggest benefits. The development of an affordable solution without compromising
the precision and quality of the device has been made possible by the use of open-source technologies
such as Blynk and Node MCU.
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How to cite this article
@article{LiyakatKKS2024,
author = {Kazi Kutubuddin Sayyad Liyakat},
title = {Development of IoT-Based Alcohol Detector Using Blynkand Node MCU},
journal = {International Journal of Chemical Separation Technology},
year = {2024},
volume = {10},
number = {01},
pages = {8--14},
issn = {2456-6691},
url = {https://journalspub.com/publication/ijcst/article=10888}
}