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http://dx.doi.org/10.3837/tiis.2019.08.019

Object Dimension Estimation for Remote Visual Inspection in Borescope Systems  

Kim, Hyun-Sik (Contents Convergence Research Center, Korea Electronics Technology Institute)
Park, Yong-Suk (Contents Convergence Research Center, Korea Electronics Technology Institute)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.13, no.8, 2019 , pp. 4160-4173 More about this Journal
Abstract
Borescopes facilitate the inspection of areas inside machines and systems that are not directly accessible for visual inspection. They offer real-time, up-close access to confined and hard-to-access spaces without having to dismantle or destructure the object under inspection. Borescopes are ideal instruments for routine maintenance, quality inspection and monitoring of systems and structures. The main application being fault or defect detection, it is useful to have measuring capability to quantify object dimensions in a target area. High-end borescopes use multi-optic solutions to provide measurement information of viewed objects. Multi-optic solutions can provide accurate measurements at the expense of structural complexity and cost increase. Measuring functionality is often unavailable in low-end, single camera borescopes. In this paper, a single camera measurement solution that enables the size estimation of viewed objects is proposed. The proposed solution computes and overlays a scaled grid of known spacing value over the screen view, enabling the human inspector to estimate the size of the objects in view. The proposed method provides a simple means of measurement that is applicable to low-end borescopes with no built-in measurement capability.
Keywords
Borescope; remote visual inspection; object detection; object measurement; image processing; grid scale projection;
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