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.
@article{arxiv.2204.14117,
title = {A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection},
author = {Yusuke Ohtsubo and Takuto Sato and Hirohiko Sagawa},
journal= {arXiv preprint arXiv:2204.14117},
year = {2022}
}