International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 123 | Views: 233

Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 7, July 2016 | Popularity: 6.4 / 10


     

To Detect and Identify the Defects of Industrial Pipe

Mayuri Dharma Shinde


Abstract: In many of industries, conventional defects are detected by experienced human inspectors who sketch the defect patterns or types manually and then resolve them. However, such detection methods are more costly, less accurate, time consuming and complicated. To overcome these problems, a method has been developed to detect and identify the defects in industrial pipes, effectively as well as automatically which is based on image processing and embedded system. This method works on video streaming. This proposed method basically works in three steps. Firstly, it converts the RGB images of the pipe into a gray scale image. Secondly, it extracts the pipe as well as fault. Then finally it detects and identifies the defect and it gives the idea of major and minor defect. So, according to this decision will be taken whether to modify that pipe or remove that pipe from process.


Keywords: Defect detection, defect identification, embedded system, image processing, pipe industry


Edition: Volume 5 Issue 7, July 2016


Pages: 1561 - 1564



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Mayuri Dharma Shinde, "To Detect and Identify the Defects of Industrial Pipe", International Journal of Science and Research (IJSR), Volume 5 Issue 7, July 2016, pp. 1561-1564, URL: https://www.ijsr.net/getabstract.php?paperid=ART2016486, DOI: https://www.doi.org/10.21275/ART2016486



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