Atmega328p microcontroller based biometric starting system design for caterpillar D3k dozer heavy operators
Department of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Jl. Prof. Soedarto, SH, Undip Tembalang Campus, Semarang, Indonesia 50275.
Review Article
GSC Advanced Research and Reviews, 2022, 13(01), 001–006.
Article DOI: 10.30574/gscarr.2022.13.1.0251
Publication history:
Received on 24 August 2022; revised on 28 September 2022; accepted on 01 October 2022
Abstract:
Heavy equipment industry is an employment sector with potentially high rate of accidents, which might occur due to the operator's own fault, where he or she does not have competence in operating such an equipment. This operator's fault accident ranks number two after that of the mechanic's accident rate, which is the focus of this research. In line with the latest digital electronic development, companies have been able to solve problems confronted with operators, one of which is through the application of biometric authorization device, which has been expected to be able to reduce the rate in the industrial accidents in heavy equipment rental. This device works by requiring authorization of the operator without inserting the manually inserted ignition key to the machine, but the operator's fingerprint that has been authorized into the system to operate such a machine. This, in turn, Will be able to reduce risks of getting an accident among operators.
Fingerprint has its function to recognize the operator's identity as well as password to the electronic Ignition key to the machine that not everybody can get access to operating the machine to start it up. Design of this electronically control device is to produce biometrically engine start-up replacing the currently recognize Ignition switch to crank and switch off the engine using microcontroller ATmega328P system. Results of the study gained from the tests based on the standard operating procedures show based on the standard Operating procedures show a 100% success without any obstacles.
Keywords:
Biometric; Starting system; Microcontroller; Fingerprint
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
