Research and development of weld tracking system based on laser vision
Aiming at the shortcomings of low real-time, low applicability, and low welding precision of automatic welding system, a seam tracking system based on laser vision is designed. Use the laser vision sensor to collect the weld image and transmits it to the industrial control computer for processing. U...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-11-01
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| Series: | Measurement + Control |
| Online Access: | https://doi.org/10.1177/00202940221092027 |
| _version_ | 1828135369203253248 |
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| author | Dongjie Li Mingrui Wang Shiwei Wang Hongyue Zhao |
| author_facet | Dongjie Li Mingrui Wang Shiwei Wang Hongyue Zhao |
| author_sort | Dongjie Li |
| collection | DOAJ |
| description | Aiming at the shortcomings of low real-time, low applicability, and low welding precision of automatic welding system, a seam tracking system based on laser vision is designed. Use the laser vision sensor to collect the weld image and transmits it to the industrial control computer for processing. Using a median filter to eliminate noise impacts such as arc and splash. Then, this paper focuses on the combination of an improved image threshold segmentation algorithm is used to solve the optimal threshold to obtain the binary image. And the information of laser stripe and the background are separated, overcomes the problems that the researchers have encountered before, such as the unrecognized global optimal solution, and the inaccuracy of the segmentation caused by system jitter. Finally, combined with the improved upper and lower average method, least square method, and Hough transform, the weld feature points are identified and more ideal real-time weld tracking is realized. The experimental results show that the method can accurately track the weld feature points, and improve the detection speed. |
| first_indexed | 2024-04-11T17:45:46Z |
| format | Article |
| id | doaj.art-b2a72176188b41d4a0b63f9be235deac |
| institution | Directory Open Access Journal |
| issn | 0020-2940 |
| language | English |
| last_indexed | 2024-04-11T17:45:46Z |
| publishDate | 2022-11-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Measurement + Control |
| spelling | doaj.art-b2a72176188b41d4a0b63f9be235deac2022-12-22T04:11:22ZengSAGE PublishingMeasurement + Control0020-29402022-11-015510.1177/00202940221092027Research and development of weld tracking system based on laser visionDongjie Li0Mingrui Wang1Shiwei Wang2Hongyue Zhao3Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education, Harbin University of Science and Technology, Harbin, ChinaHeilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, Harbin University of Science and Technology, Harbin, ChinaHeilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, Harbin University of Science and Technology, Harbin, ChinaHeilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration, Harbin University of Science and Technology, Harbin, ChinaAiming at the shortcomings of low real-time, low applicability, and low welding precision of automatic welding system, a seam tracking system based on laser vision is designed. Use the laser vision sensor to collect the weld image and transmits it to the industrial control computer for processing. Using a median filter to eliminate noise impacts such as arc and splash. Then, this paper focuses on the combination of an improved image threshold segmentation algorithm is used to solve the optimal threshold to obtain the binary image. And the information of laser stripe and the background are separated, overcomes the problems that the researchers have encountered before, such as the unrecognized global optimal solution, and the inaccuracy of the segmentation caused by system jitter. Finally, combined with the improved upper and lower average method, least square method, and Hough transform, the weld feature points are identified and more ideal real-time weld tracking is realized. The experimental results show that the method can accurately track the weld feature points, and improve the detection speed.https://doi.org/10.1177/00202940221092027 |
| spellingShingle | Dongjie Li Mingrui Wang Shiwei Wang Hongyue Zhao Research and development of weld tracking system based on laser vision Measurement + Control |
| title | Research and development of weld tracking system based on laser vision |
| title_full | Research and development of weld tracking system based on laser vision |
| title_fullStr | Research and development of weld tracking system based on laser vision |
| title_full_unstemmed | Research and development of weld tracking system based on laser vision |
| title_short | Research and development of weld tracking system based on laser vision |
| title_sort | research and development of weld tracking system based on laser vision |
| url | https://doi.org/10.1177/00202940221092027 |
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