Camera orientation determination based on copper wire spool shape

A simple and inexpensive system but effective in performing required tasks is the most preferable in industry. In this study, a vision system is developed to solve the peg-in-hole problem of a robot-like forklift to pick up copper wire spool arranged side by side on a rack, without using any sensors...

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Main Authors: Farah Adiba, Azman, Mohd Razali, Daud, Amir Izzani, Mohamed, Addie Irawan, Hashim, Raja Mohd Taufika, Raja Ismail, Mohd Mawardi, Saari
Format: Conference or Workshop Item
Language:English
Published: Springer Nature 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/30440/
http://umpir.ump.edu.my/id/eprint/30440/1/Camera%20orientation%20determination%20based%20on%20copper%20wire%20spool%20shape.pdf
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author Farah Adiba, Azman
Mohd Razali, Daud
Amir Izzani, Mohamed
Addie Irawan, Hashim
Raja Mohd Taufika, Raja Ismail
Mohd Mawardi, Saari
author_facet Farah Adiba, Azman
Mohd Razali, Daud
Amir Izzani, Mohamed
Addie Irawan, Hashim
Raja Mohd Taufika, Raja Ismail
Mohd Mawardi, Saari
author_sort Farah Adiba, Azman
building UMP Institutional Repository
collection Online Access
description A simple and inexpensive system but effective in performing required tasks is the most preferable in industry. In this study, a vision system is developed to solve the peg-in-hole problem of a robot-like forklift to pick up copper wire spool arranged side by side on a rack, without using any sensors, except a low-cost camera. Inspired by how human perceive an object orientation based on its shape, an algorithm is developed to determine robot orientation based on the shape of a copper wire spool relative to camera position and yaw angle. The center point of the spool (CPS) should be on the center line of camera FOV (CFOV) if the camera is perpendicular or 0° parallel to the spool. Thus, the coordinate of the CPS and the CFOV is same. Instead, when the camera is seeing the spool from the angle less or bigger than 0°, the CPS and CFOV will be different, and the difference shows the position and the yaw angle of the camera relative to the spool. A copper wire spool has three circles; the outer circle, the tapper part around its center hole and the center hole itself. The proposed system uses Circular Hough Transform (CHT), filtering, binary, morphology and Sobel edge detection of the sampled images from real-time video recording to determine the orientation of the camera related to the copper wire spool shape, in which the center coordinate of the three circles was determined. Results from the experiments that had been done show that the system is able to determine the orientation of the camera related to the spool.
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spelling ump-304402021-01-11T06:17:53Z http://umpir.ump.edu.my/id/eprint/30440/ Camera orientation determination based on copper wire spool shape Farah Adiba, Azman Mohd Razali, Daud Amir Izzani, Mohamed Addie Irawan, Hashim Raja Mohd Taufika, Raja Ismail Mohd Mawardi, Saari TK Electrical engineering. Electronics Nuclear engineering A simple and inexpensive system but effective in performing required tasks is the most preferable in industry. In this study, a vision system is developed to solve the peg-in-hole problem of a robot-like forklift to pick up copper wire spool arranged side by side on a rack, without using any sensors, except a low-cost camera. Inspired by how human perceive an object orientation based on its shape, an algorithm is developed to determine robot orientation based on the shape of a copper wire spool relative to camera position and yaw angle. The center point of the spool (CPS) should be on the center line of camera FOV (CFOV) if the camera is perpendicular or 0° parallel to the spool. Thus, the coordinate of the CPS and the CFOV is same. Instead, when the camera is seeing the spool from the angle less or bigger than 0°, the CPS and CFOV will be different, and the difference shows the position and the yaw angle of the camera relative to the spool. A copper wire spool has three circles; the outer circle, the tapper part around its center hole and the center hole itself. The proposed system uses Circular Hough Transform (CHT), filtering, binary, morphology and Sobel edge detection of the sampled images from real-time video recording to determine the orientation of the camera related to the copper wire spool shape, in which the center coordinate of the three circles was determined. Results from the experiments that had been done show that the system is able to determine the orientation of the camera related to the spool. Springer Nature 2020-03-24 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30440/1/Camera%20orientation%20determination%20based%20on%20copper%20wire%20spool%20shape.pdf Farah Adiba, Azman and Mohd Razali, Daud and Amir Izzani, Mohamed and Addie Irawan, Hashim and Raja Mohd Taufika, Raja Ismail and Mohd Mawardi, Saari (2020) Camera orientation determination based on copper wire spool shape. In: InECCE2019: Proceedings of the 5th International Conference on Electrical, Control & Computer Engineering , 29th July 2019 , Kuantan, Pahang, Malaysia. pp. 205-218., 632. ISBN 978-981-15-2317-5 (Published) https://doi.org/10.1007/978-981-15-2317-5_18
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Farah Adiba, Azman
Mohd Razali, Daud
Amir Izzani, Mohamed
Addie Irawan, Hashim
Raja Mohd Taufika, Raja Ismail
Mohd Mawardi, Saari
Camera orientation determination based on copper wire spool shape
title Camera orientation determination based on copper wire spool shape
title_full Camera orientation determination based on copper wire spool shape
title_fullStr Camera orientation determination based on copper wire spool shape
title_full_unstemmed Camera orientation determination based on copper wire spool shape
title_short Camera orientation determination based on copper wire spool shape
title_sort camera orientation determination based on copper wire spool shape
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/30440/
http://umpir.ump.edu.my/id/eprint/30440/
http://umpir.ump.edu.my/id/eprint/30440/1/Camera%20orientation%20determination%20based%20on%20copper%20wire%20spool%20shape.pdf