Performance of a Module and Defect Detection Algorithm for Aerial Infrared Images as a Function of the Flying Altitude

Dalsaß M, Deitsch S, Luchscheider P, Gallwitz F, Brabec C (2016)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2016

Pages Range: 2036-2040

Event location: Munich DE

ISBN: 3-936338-41-8

DOI: 10.4229/EUPVSEC20162016-5BV.2.60

Abstract

n recent years, remote-controlled unmanned air vehicles (UAV) have been used increasingly to attain aerial infrared (aIR) recordings of large photovoltaic (PV) power plants with which thermally suspicious PV modules can be identified and localized. But so far, aIR recordings are still analyzed mostly manually – a process which can be extremely time-consuming and error-prone. In this context, the performance of a module and defect detection algorithm for aIR images is evaluated as a function of the flying altitude. For this purpose, aIR recordings of a PV power plant are generated from six flying altitudes from 5 m to 30 m above ground level by means of a drone measurement system and used as data input for the image processing tool. The results indicate optimal flying altitudes for both module and defect detection. However, the most suitable flying altitude may be a compromise with further conditions. The findings of this work will advance future automatic monitoring and early detection systems.

Authors with CRIS profile

Manuel Dalsaß Institute Materials for Electronics and Energy Technology (i-MEET) Sergiu Deitsch Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Christoph Brabec Institute Materials for Electronics and Energy Technology (i-MEET)

Involved external institutions

Bayerisches Zentrum für Angewandte Energieforschung e.V. (ZAE Bayern) DE Germany (DE) Technische Hochschule Nürnberg "Georg Simon Ohm" DE Germany (DE)

How to cite

APA:

Dalsaß, M., Deitsch, S., Luchscheider, P., Gallwitz, F., & Brabec, C. (2016). Performance of a Module and Defect Detection Algorithm for Aerial Infrared Images as a Function of the Flying Altitude. In Proceedings of the 32nd European Photovoltaic Solar Energy Conference and Exhibition (pp. 2036-2040). Munich, DE.

MLA:

Dalsaß, Manuel, et al. "Performance of a Module and Defect Detection Algorithm for Aerial Infrared Images as a Function of the Flying Altitude." Proceedings of the 32nd European Photovoltaic Solar Energy Conference and Exhibition, Munich 2016. 2036-2040.

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