Applying image processing technology for mobile robot automatically tracking and following steel weld seams

Các tác giả

  • Huu Hoang Bui The University of Danang – University of Science and Technology
  • Van Hieu Dang The University of Danang – University of Science and Technology
  • Truong Nguyen Danang University of Science and Technology
  • Kim Anh Nguyen The University of Danang – University of Science and Technology
  • Khanh Quang Nguyen The University of Danang – University of Science and Technology
  • Van Quang Binh Ngo Faculty of Physics, University of Education, Hue University

DOI:

https://doi.org/10.64032/mca.v3i3.118

Từ khóa:

Mobile robot, image processing technology, edge detection, sliding window, metal welding

Tóm tắt

For inspecting steel weld seams, most of the buildings, steel pillars, pipelines, storage tanks, etc. are currently still carried out in a manual way. More specifically, technicians often use scaffolding systems for moving and carrying defect testing equipment. At this time, the job requires them to work in dangerous altitude conditions, even in environments containing harmful gases. Therefore, this paper will be focused on developing a mobile robot in order to replace human in the work of carrying welding defect equipment. This helps to ensure worker safety, increase productivity and save costs. A computer vision is integrated into the robot to create a unified system to help it see, think. The robot uses computer vision to automatically identify steel weld seam and align the movement direction to follow the welding seam. In addition, with a special design using a permanent magnet wheel system, the robot has the ability to move flexibly on the surface of large steel structures with a flexible tilt angle from 0˚ to 180˚.

Tải xuống

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Tải xuống

Đã Xuất bản

10-02-2023

Cách trích dẫn

Bui, H. H., Dang, V. H., Nguyen, T., Nguyen, K. A., Nguyen, K. Q., & Binh Ngo, V. Q. (2023). Applying image processing technology for mobile robot automatically tracking and following steel weld seams. Tạp Chí Đo lường, Điều khiển Và Tự động hóa, 3(3), 26–32. https://doi.org/10.64032/mca.v3i3.118

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