Open AccessLuminescence Imaging Strategies for Drone-Based PV Array Inspection
Author(s) -
Gisele Alves dos Reis Benatto,
Nicholas Riedel,
Claire Mantel,
Sune Thorsteinsson,
Peter Behrensdorff Poulsen,
Mingjun Chi,
Anders Thorseth,
Ole Bjarlin Jensen,
Carsten DamHansen,
Søren Forchhammer,
Kenn H. B. Frederiksen,
Jan Vedde,
Michael Petersen,
H.P. Voss,
Michael Messerschmidt,
Harsh Parikh,
Sergiu Spataru,
Dezső Séra
Publication year - 2017
Publication title -
vbn forskningsportal (aalborg universitet)
Language(s) - English
DOI - 10.4229/eupvsec20172017-6co.15.3
Subject(s) - drone , luminescence , computer science , computer vision , artificial intelligence , optoelectronics , materials science , biology , botany
The goal of this work is to perform outdoor defect detection imaging that will be used in a fast, accurate and automatic drone-based survey system for PV power plants. The imaging development focuses on techniques that do not require electrical contact, permitting automatic drone inspections to be perform quicker and with less manpower. The final inspection method will combine several techniques such as, infrared (IR), electroluminescence (EL), photoluminescence (PL), and visual imaging. Solar plant inspection in the future can be restricted only by imaging speed requirements, allowing an entire new perspective in large-scale PV inspection.
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