Automated Computer Vision-Based Reading of Residential Meters (CROSBI ID 676247)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Koščević, Karlo ; Subašić, Marko
engleski
Automated Computer Vision-Based Reading of Residential Meters
We present a solution for automated reading of various residential meters from photographs, using computer vision algorithm. The solution has several modules that are executed sequentially: meter type recognition, geometric transform of images, ROI extraction and OCR. Algorithm uses SURF and HOG features to detect and describe feature points used for device recognition and OCR. The final goal is to provide complete counter values and complete serial number of the meter. The solution allows for a limited amounts of poor imaging conditions, and usually fails in poor image conditions when even human observers would have difficulties reading meters. The solution has been implemented in MATLAB environment and its computer vision library. An initial image database has been collected for testing purposes. Test results are reported in the paper.
Image analysis, Object detection, OCR
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Podaci o prilogu
24-29.
2016.
objavljeno
10.20532/ccvw.2016.0015
Podaci o matičnoj publikaciji
Proceedings of the Croatian Computer Vision Workshop 2016
Cupec, Robert
Osijek:
1849-1227
Podaci o skupu
Croatian Computer Vision Workshop
poster
11.10.2016-11.10.2016
Osijek, Hrvatska