Embedded Alcohol Sensing Design and Analysis for Air Samples
Marwanto A., Haddin M., Hapsari J.P., Ismail M.
Abstract
WHO through the Global Action Plan on Sustainable Development Goals (SGDs) 2013-2030 provides direction to implement 17 SDGs goals, In this context, WHO targets to reduce alcohol consumption to at least 10% in each country and reduce the number of deaths caused by traffic accidents by as much as 50%. The high death rate from traffic accidents due to the influence of alcohol is a concern for all of us. Excessive alcohol consumption is dangerous when driving because consuming alcohol will affect a person's temperament and worsen driving behavior because it reduces awareness, resulting in accidents. This study designs and analyzes the detection of alcohol levels from a person's breath simulation. A system is needed that is able to detect the alcohol content of vehicle drivers that can be monitored and analyzed, as information to warn motorists of vehicles under the influence of alcohol in order to prevent traffic accidents. Internet of Things (IoT) based alcohol detection system design consists of a series of hardware and software applications in embedded alcohol sensing. The main components consist of the MQ3 sensor to detect the alcohol content of a person's breath and the WeMos D1 mini is the ESP8266 Wi-Fi development board module as an Internet of things (IoT) connection. The tests carried out from the research showed the results of the Blood Alcohol Content (BAC) alcohol content in the test sample by testing several times in a row with the average BAC test results: >0.09, 0.06, 0.03 and 0.00.
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International Conference on Electrical Engineering Computer Science and Informatics Eecsi
