Convolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres
This work proposes a technique for detecting wear out of car tyres. Tyre is the only part of the vehicle which is in contact with road. Hence tyre condition should be monitored timely in order to have a safe drive. Tyre wear out occurs because of the parameters such as when the tread limit of tyre...
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Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis
2021
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oai:doaj.org-article:6377cb13644a4a72b33d287b202f27942021-11-06T02:21:47ZConvolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres2600-8793https://doaj.org/article/6377cb13644a4a72b33d287b202f27942021-03-01T00:00:00Zhttp://repeater.my/index.php/jcrinn/article/view/181https://doaj.org/toc/2600-8793 This work proposes a technique for detecting wear out of car tyres. Tyre is the only part of the vehicle which is in contact with road. Hence tyre condition should be monitored timely in order to have a safe drive. Tyre wear out occurs because of the parameters such as when the tread limit of tyre is less than 1.6 cm, rubber degradation, when there are around 4 to 5 punctures, bulged tyre. We consider some of the above parameters to assess the wear of tyre using the computer vision techniques such as opencv and convolutional neural networks. Opencv and convolutional neural networks are most used in object detection and image classification. We used these techniques and obtained an accuracy of 90.95%, with which we can predict the wear of tyre to avoid dangerous accidents. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA PerlisarticleProbabilities. Mathematical statisticsQA273-280TechnologyTTechnology (General)T1-995ENJournal of Computing Research and Innovation, Vol 6, Iss 1 (2021) |
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Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995 |
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Probabilities. Mathematical statistics QA273-280 Technology T Technology (General) T1-995 Convolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres |
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This work proposes a technique for detecting wear out of car tyres. Tyre is the only part of the vehicle which is in contact with road. Hence tyre condition should be monitored timely in order to have a safe drive. Tyre wear out occurs because of the parameters such as when the tread limit of tyre is less than 1.6 cm, rubber degradation, when there are around 4 to 5 punctures, bulged tyre. We consider some of the above parameters to assess the wear of tyre using the computer vision techniques such as opencv and convolutional neural networks. Opencv and convolutional neural networks are most used in object detection and image classification. We used these techniques and obtained an accuracy of 90.95%, with which we can predict the wear of tyre to avoid dangerous accidents.
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| format |
article |
| title |
Convolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres |
| title_short |
Convolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres |
| title_full |
Convolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres |
| title_fullStr |
Convolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres |
| title_full_unstemmed |
Convolutional Neural Network and OpenCV Based Mobile Application to Detect Wear out in Car Tyres |
| title_sort |
convolutional neural network and opencv based mobile application to detect wear out in car tyres |
| publisher |
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis |
| publishDate |
2021 |
| url |
https://doaj.org/article/6377cb13644a4a72b33d287b202f2794 |
| _version_ |
1718443983604023296 |