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Computer Vision Tool for Detection, Mapping and Fault Classification of
  PV Modules in Aerial IR Videos

Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos

14 June 2021
Lukas Bommes
Tobias Pickel
C. Buerhop‐Lutz
J. Hauch
Christoph J. Brabec
I. M. Peters
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Papers citing "Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos"

4 / 4 papers shown
Title
Georeferencing of Photovoltaic Modules from Aerial Infrared Videos using
  Structure-from-Motion
Georeferencing of Photovoltaic Modules from Aerial Infrared Videos using Structure-from-Motion
Lukas Bommes
C. Buerhop‐Lutz
Tobias Pickel
J. Hauch
Christoph J. Brabec
I. M. Peters
25
10
0
06 Apr 2022
Anomaly Detection in IR Images of PV Modules using Supervised
  Contrastive Learning
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes
M. Hoffmann
C. Buerhop‐Lutz
Tobias Pickel
J. Hauch
Christoph J. Brabec
Andreas Maier
I. M. Peters
18
31
0
06 Dec 2021
A Multi-Stage model based on YOLOv3 for defect detection in PV panels
  based on IR and Visible Imaging by Unmanned Aerial Vehicle
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
Antonio Di Tommaso
Alessandro Betti
G. Fontanelli
B. Michelozzi
24
79
0
23 Nov 2021
Opportunities for Machine Learning to Accelerate Halide Perovskite
  Commercialization and Scale-Up
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up
Rishi E. Kumar
A. Tiihonen
Shijing Sun
D. Fenning
Zhe Liu
Tonio Buonassisi
25
10
0
08 Oct 2021
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