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Vehicle Engine Lock System for Theft and Alcohol Detection
P. Ranjana1, Rajeswari Mukesh2, Achhint Kumar3, N.N.S.S. Sujith4, C.H. Sathyasai5

1P. Ranjana, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
2Rajeswari Mukesh, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
3Achhint Kumar, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
4N.N.S.S. Sujith, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
5C.H. Sathyasai, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai (Tamil Nadu), India.
Manuscript received on 14 February 2019 | Revised Manuscript received on 05 March 2019 | Manuscript Published on 08 June 2019 | PP: 363-367 | Volume-7 Issue-5S4, February 2019 | Retrieval Number: E10760275S419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Due to the increase in road accidents the death rate is increasing and it is a major concern than one can’t imaging. The reason for road accidents are the driver’s alcohol consumption. The death rate due to drink and drive is in high in rate due to this especially in countries like India. So a system is proposed to detect the alcohol content level of the driver. The proposed work explores the possibility to detect alcohol at very first using technology. The alcohol content of the driver is detected using the MQ3 sensors embedded in the steering of the vehicle. The breath of the driver is sensed through this sensor and the alcohol content is the blood is analyzed. The driver cannot start the car if the alcohol content is above the threshold value. The added features to this system is the alcohol sensors sense only the person sitting in the driver’s seat and will not take into account of the fellow passenger. It is also used to track the theft of the vehicle if there using the figure print recognition technique. This is done by measures of the sensors connected to the Node MCU Arduino micro controller where it is programmed to give a buzzer sound when the driver is drunk or theft to the vehicle. So the driver with alcohol consumption is identified with more accuracy and theft of vehicle can be identified.
Keywords: Actuators, Embedded, Sensors, Vehicle, Micro Controller, Program.
Scope of the Article: Expert Systems