# A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection

arXiv: https://arxiv.org/abs/2204.14117 · HTML: https://mlsanity.com/paper/2204.14117/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 2 references that are in the map.
- First posted on arXiv 24 Apr 2022.

## Abstract (arXiv)

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.