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  •   B. I. Bakare

  •   A. Umoru

  •   S. Orike

Abstract

This paper is an improved alcohol level sensing system, that measures alcohol intakes, display percentage of alcohol, sound an alarm if alcohol percentage is above the preset thresh hood, documents offender’s data via keypad and transmit same data to a central server with SIM800 GSM/GPRS module via short messaging services for proper documentation and persecution purpose. Here we used an alcohol sensor circuit along with LCD display, a buzzer alarm, ATmega328 microcontroller, keypad and GSM sim module. The system first uses the alcohol sensor in order to detect the alcohol. The sensor provides analog input. These analog inputs are sent to the microcontroller for further processing. The microcontroller calculates the percentage of alcohol from the analog input received and displays the same on the LCD screen. The device was observed to sound an alarm when the percentage of alcohol exceeded the preset value of 0.05 g/mL. Through the use of a 4x4 keypad, documentation of the driver license serial number, the car plate number and name of the driver was achieved. These documented details of the erring driver were transmitted to a preprogrammed mobile phone number via SMS using the SIM800 GSM/GPRS module.

Keywords: BAC, BrAC, ATMega328P, MQ3

References

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G. Gasparesc (2018). Driver Alcohol Detection System Based on Virtual Instrumentation. IFAC PapersOnLine 51-6 (2018) 502–507. Available online at www.sciencedirect.com.

A. W. Jones, The Relationship between Blood Alcohol Concentration (BAC) and Breath Alcohol Concentration (BrAC): A Review of the Evidence. Road Safety Web Publication, vol. 15, 1-43, 2010.

B.I. Bakare, I.A. Ekanem and I.O Allen. Appraisal of Global System for Mobile Communication (GSM) in Nigeria, American Journal of Engineering Research (AJER) e-ISSN: 2320-0847 P-ISSN: 2320-0936.Vol-6, Issue-6, pp-97-102, 2017.

SIMCOM (2016). SIM800 Hardware Design V1.09. http://mt-system.ru/sites/default/files/documents/sim800_hardware_design_v1.09.pdf.

Oloyede, M. A., Michael, D., and Waheed, M. A. (2018). Alcohol Detecting and Notification System for Controlling Drink Driving. 2nd International Conference on Information and Communication Technology and Its Applications (ICTA 2018), Federal University of Technology, Minna, Nigeria September 5 – 6, 2018.

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How to Cite
[1]
Bakare, B.I., Umoru, A. and Orike, S. 2020. Improved Alcohol Level Sensing Device that Transmit Offender’s Data to a Central Server through Short Messaging Services (SMS). European Journal of Electrical Engineering and Computer Science. 4, 5 (Sep. 2020). DOI:https://doi.org/10.24018/ejece.2020.4.5.205.