Vision-based object’s shape determination for robot alignment

Farah Adiba, Azman and Mohd Razali, Daud and Amir Izzani, Mohamed and Addie Irawan, Hashim and Raja Mohd Taufika, Raja Ismail (2018) Vision-based object’s shape determination for robot alignment. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-2). pp. 111-115. ISSN 2180-1843 (Print); 2289-8131 (Online). (Published)

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This study provides vision-based system solutions to a peg-in-hole problem facing by a fork lift like robot used to transport copper wire spools from a rack in which the spools are arranged side by side, to a specified place. The copper wire spool is held by 3 round cylindrical shafts; one through the center hole of the spool and another 2 shafts hold at the bottom of the spool. The aim of this development of vision-based system is to make the robot operating autonomously. However, this study scope is limited to copper wire spool detection and confirmation of its alignment compared to camera orientation using a Logitech Webcam C525 which has an autofocus camera and have HD view with lower price. By integrating the Logitech webcam for windows with MATLAB R2016a, all computations, programming and processing of this project are done using the MATLAB. The proposed system uses Circular Hough Transform (CHT) and image processing methods for binarization, morphology and edge detection of the sampled images from real-time video recording. Several simulations have been carried out and from the result obtained, the system is able to detect the copper wire spool with estimated radius in pixel and the alignment of the spool.

Item Type: Article
Uncontrolled Keywords: Vision-based System; Circle Detection; Image Processing; Copper Wire Spool
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 06 Mar 2018 03:42
Last Modified: 07 Sep 2020 08:37
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