A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection

A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection

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 compar...

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Veröffentlicht in:arXiv.org 2022-04
Hauptverfasser: Ohtsubo, Yusuke, Sato, Takuto, Sagawa, Hirohiko
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Comparative studies
Inspection
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Sagawa, Hirohiko
description 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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title A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection
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