• search hit 9 of 11
Back to Result List

Automatic Watermeter Reading in Presence of Highly Deformed Digits

  • The task we face in this paper is to automate the reading of watermeters as can be found in large apartment houses. Typically water passes through such watermeters, so that one faces a wide range of challenges caused by water as the medium where the digits are positioned. One of the main obstacles is given by the frequently produced bubbles inside the watermeter that deform the digits. To overcome this problem, we propose the construction of a novel data set that resembles the watermeter digits with a focus on their deformations by bubbles. We report on promising experimental recognition results, based on a deep and recurrent network architecture performed on our data set.

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author: Ashkan Mansouri Yarahmadi, Michael BreußGND
DOI:https://doi.org/10.1007/978-3-030-89131-2_14
ISBN:978-3-030-89130-5
ISSN:978-3-030-89131-2
Title of the source (English):Computer Analysis of Images and Patterns
Publisher:Springer
Place of publication:Cham
Document Type:Conference publication peer-reviewed
Language:English
Year of publication:2021
Tag:Underwater digit recognition / Sequence models / Connectionist Temporal Classification
First Page:153
Last Page:163
Series ; volume number:Lecture Notes in Computer Science book series ; volume 13053
Faculty/Chair:Fakultät 1 MINT - Mathematik, Informatik, Physik, Elektro- und Informationstechnik / FG Angewandte Mathematik
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.