Research Article Open Access

Nondestructive Test Using a 3D Computer Vision System for Damage Detection of Structures

Taylor M.V. Szeto1 and Sun Yi1
  • 1 North Carolina A&T State University, United States
American Journal of Engineering and Applied Sciences
Volume 11 No. 2, 2018, 973-978

DOI: https://doi.org/10.3844/ajeassp.2018.973.978

Submitted On: 12 May 2018 Published On: 2 June 2018

How to Cite: Szeto, T. M. & Yi, S. (2018). Nondestructive Test Using a 3D Computer Vision System for Damage Detection of Structures. American Journal of Engineering and Applied Sciences, 11(2), 973-978. https://doi.org/10.3844/ajeassp.2018.973.978

Abstract

Structures that do not have a definitive map nor a clearly known state of health may exist underground, beyond our reach and in unsuitable environments. Nuclear facilities contain underground tunnels that exhaust hazardous gases. Industry has miles of sewage lines beneath it that emit flammable and toxic gases. Regular inspection and maintenance is an essential part of failure prevention, however, these fatal environments have prohibited proper inspection of such infrastructure. Thus, the future of computer vision is vital to quality inspection. A strategically designed robot can be trained to visually inspect any structure, detect if there is a damage and decide if the damage is critical. Likened to any good inspector, the robot must be trained to investigate the nature of the damage and to alert the user of potential failures. This article discusses robotic training to detect damage in concrete structures and make decisions to the significance and impact of the defect.

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Keywords

  • Nondestructive Testing, Computer Vision
  • Visual Inspection
  • 3D Camera
  • Concrete