Pregled bibliografske jedinice broj: 1001323
Automated Computer Vision-Based Reading of Residential Meters
Automated Computer Vision-Based Reading of Residential Meters // Proceedings of the Croatian Computer Vision Workshop 2016 / Cupec, Robert (ur.).
Osijek, 2016. str. 24-29 doi:10.20532/ccvw.2016.0015 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1001323 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Automated Computer Vision-Based Reading of Residential Meters
Autori
Koščević, Karlo ; Subašić, Marko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Croatian Computer Vision Workshop 2016
/ Cupec, Robert - Osijek, 2016, 24-29
Skup
Croatian Computer Vision Workshop
Mjesto i datum
Osijek, Hrvatska, 11.10.2016
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Image analysis, Object detection, OCR
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marko Subašić
(autor)