Wheel Alignment Detection using Raspberry pi

Authors

  • Mulla Minaz  U.G.B.E. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Soni Drupad  U.G.B.E. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Tale Hetal  U.G.B.E. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Gandhi Maulik  U.G.B.E. Student Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Dr. Sheshang Degadwala  Head of Department, Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India

DOI:

https://doi.org//10.32628/CI006

Keywords:

Wheelalignment, Detection, Wheels, Raspberry Pi, Sensors

Abstract

Wheel Alignment detection using Raspberry Pi - The development of automobile technology is evolving and the influence of automobile stability to travel safely is increasing. A modern person usually has wheel alignments both for front and rear wheels. For that detection is needed, here comes the role of our device. Here 3 elements are important Camber, Castor and Toe which needs to be looked after for alignment. All four tires should be in straight line. A further thing which matters is Knuckle, Bearing and Jumper. By rash driving alignment gets disturbed which affects tire wear and tear. Here, user can get affected by frequent tire replacement which leads to cost on maintenance. Here, every tire calculations are different and they should be precise. For maintaining that using sensors calculations are maintained which can be done using Raspberry Pi and Python as implementation language.

References

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Downloads

Published

2018-04-10

Issue

Section

Research Articles

How to Cite

[1]
Mulla Minaz, Soni Drupad, Tale Hetal, Gandhi Maulik, Dr. Sheshang Degadwala, " Wheel Alignment Detection using Raspberry pi, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.261-270, March-April-2018. Available at doi : https://doi.org/10.32628/CI006