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arXiv · 2204.14117

A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection

Yusuke Ohtsubo·Takuto Sato·Hirohiko Sagawa
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Abstract

In order to read meter values from a camera on an autonomous inspection robot with positional errors, it is necessary to detect meter regions from the image. In this study, we developed shape-based, texture-based, and background information-based methods as meter area detection techniques and compared their effectiveness for meters of different shapes and sizes. As a result, we confirmed that the background information-based method can detect the farthest meters regardless of the shape and number of meters, and can stably detect meters with a diameter of 40px.

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Yusuke Ohtsubo, Takuto Sato, Hirohiko Sagawa. 2022-04-24. A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection. https://arxiv.org/abs/2204.14117

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