Vision Based Identification And Detection Of Initial, Mid And End Points Of Weld Seams Path In Butt-Welding Joint Using Point Detector Methods

Hairol Nizam, Mohd Shah and Marizan, Sulaiman and Ahmad Zaki, Shukor and Mohd Zamzuri, Ab Rashid (2016) Vision Based Identification And Detection Of Initial, Mid And End Points Of Weld Seams Path In Butt-Welding Joint Using Point Detector Methods. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) , 8 (7). pp. 57-61. ISSN 2180-1843

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Abstract

The main challenge in using welding robot is the time taken to program robot path for a new job in low to medium volume manufacturing industries or repair work. Because of that, it is cheaper and efficient to weld the part manually. This project intends to identify and detect the initial, mid and end point of weld seams path in straight line joints of stainless steel piecework which are typical to welding applications. The image piecework is snapped by charge coupled device (CCD) camera which is perpendicular between piecework. Weld seams path identification method is implemented in three stages; (1) pre-processing (2) reduced domain and (3) the weld seams path is identified. The point detection techniques is used to find the point of the images. Point detection techniques such as Harris Binominal, Harris, Lepetit and Sojka points were analyed to remove those points that does not belong to seam path. The experimental results show this systems can identify and detect weld seam path location in terms of x-y pixels coordinates. Result show that, Harris points detector is the best point detector compared to the other detectors which the identification error is around ±2.0 pixels for both coordinates which is row and column in starting and ending points of weld seams path.

Item Type:	Article
Uncontrolled Keywords:	Harris Binominal; Harris; Lepetit; Sojka and Weld Seams Path.
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Mechatronics Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	29 Nov 2016 04:57
Last Modified:	14 Sep 2021 19:31
URI:	http://eprints.utem.edu.my/id/eprint/17700
Statistic Details:	View Download Statistic

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