@inproceedings{80683ff0eead49eea4cd93940267c46d,
title = "Autonomous Real-Time Gauge Reading in an Industrial Environment",
abstract = "In many industrial environments physical process values are still measured using analog gauges. An automatic reading of these instruments using wireless or wired data connections is often not feasible, due to cost- or technical issues. In such cases manual reading using human personnel is currently state-of-the-art. Especially in large plants (e.g. oil gas refinery) these tasks are very error-prone, time-consuming and often dangerous due to exposed positions of the gauges. Recent research in the domain of autonomous robots and machine vision broadened the way of implementing either assistive or fully autonomous systems for reading analog gauges in hazardous environments. Therefore this work introduces a novel method for the detection of the gauge itself, the detection of the pointer needle and the extraction of information from the markings on the gauge. This allows the extraction of a physical measurement value without any prior knowledge about the gauge.",
keywords = "gauge detection, industrial application, machine vision, search and rescue robotics",
author = "Stefan Dumberger and Raimund Edlinger and Roman Froschauer",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020 ; Conference date: 08-09-2020 Through 11-09-2020",
year = "2020",
month = sep,
doi = "10.1109/ETFA46521.2020.9211895",
language = "English",
series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1281--1284",
booktitle = "Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020",
address = "United States",
}