Estimation of Tyre Pressure from the Characteristics of the Wheel: An Image Processing Approach

  • V. B. Vineeth ReddyEmail author
  • H. Ananda Rao
  • A. Yeshwanth
  • Pravin Bhaskar Ramteke
  • Shashidhar G. Koolagudi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 766)


Improper tyre pressure is a safety issue that falls prey to ignorance of users. But a drop in tyre pressure can result in the reduction of mileage, tyre life, vehicle safety and performance. In this paper, an approach is proposed to measure the tyre pressure from the image of the wheel. The tyre pressure is classified into under pressure and normal pressure using load index, tyre type, tyre position and ratio of compressed and uncompressed tyre radius. The efficiency of the feature is evaluated using three classifiers namely Random Forest, AdaBoost and Artificial Neural Networks. It is observed that the ratio of radii plays a major role in classifying the tyres. The proposed system can be used to obtain a rough idea on whether the tyre should be refilled or not.


Image processing Random forest AdaBoost Hough gradient Neural networks 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • V. B. Vineeth Reddy
    • 1
    Email author
  • H. Ananda Rao
    • 1
  • A. Yeshwanth
    • 1
  • Pravin Bhaskar Ramteke
    • 1
  • Shashidhar G. Koolagudi
    • 1
  1. 1.National Institute of Technology KarnatakaSurathkalIndia

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