Journal
IMAGE ANALYSIS AND RECOGNITION, ICIAR 2017
Volume 10317, Issue -, Pages 617-625Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-59876-5_68
Keywords
Photovoltaic systems; Hot spot detection; Drones
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Hot spots are among the defects of photovoltaic panels which may cause the most destructive effects. In this paper we propose a method able to automatically detect the hot spots in photovoltaic panels by analyzing the sequence of thermal images acquired by a camera mounted on board of a drone fighting over the plant. The main novelty of the proposed approach lies in the fact that color based information, typically adopted in the literature, are combined with model based one, so as to strongly reduce the number of detected false positive. The experimentation, both in terms of accuracy and processing time, confirms the effectiveness and the efficiency of the proposed approach.
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