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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