Automatic Visual Reading of Meters Using Deep Learning (CROSBI ID 676243)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Koščević, Karlo ; Subašić, Marko
engleski
Automatic Visual Reading of Meters Using Deep Learning
In this paper, we present a novel approach to the problem of reading residential meters using deep learning algorithms. As a starting point we use Faster R-CNN method and, to acquire more precise readings, we modify its functionality. As there were no databases for this kind of task, one had to be collected and properly annotated. This paper also provides a brief introduction to methods for image augmentation and a technique to augment annotated image dataset. For each part of the presented method as well as the whole method as one unit experiments were conducted to show the overall successfulness.
Image analysis, Object detection, OCR, Deep neural networks
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Podaci o prilogu
1-6.
2018.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the Croatian Computer Vision Workshop 2018
Petković, Tomislav
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
1849-1227
Podaci o skupu
7th Croatian Computer Vision Workshop (CCVW 2018)
poster
24.10.2018-24.10.2018
Zagreb, Hrvatska