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Automatic Classification of Defective Photovoltaic Module Cells in
  Electroluminescence Images

Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images

8 July 2018
S. Deitsch
Vincent Christlein
S. Berger
C. Buerhop‐Lutz
Andreas Maier
F. Gallwitz
Christian Riess
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Papers citing "Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images"

10 / 10 papers shown
Title
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
Abhishek Jha
Yogesh S Rawat
Shruti Vyas
48
1
0
21 Apr 2024
A scalable framework for annotating photovoltaic cell defects in
  electroluminescence images
A scalable framework for annotating photovoltaic cell defects in electroluminescence images
Urtzi Otamendi
Iñigo Martinez
Igor García Olaizola
M. Quartulli
30
9
0
15 Dec 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
24
112
0
28 Mar 2022
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
19
79
0
23 Nov 2021
Segmentation of cell-level anomalies in electroluminescence images of
  photovoltaic modules
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules
Urtzi Otamendi
Iñigo Martinez
M. Quartulli
Igor García Olaizola
E. Viles
W. Cambarau
29
48
0
21 Jun 2021
Anomaly detection and automatic labeling for solar cell quality
  inspection based on Generative Adversarial Network
Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network
Julen Balzategui
Luka Eciolaza
Daniel Maestro-Watson
25
26
0
05 Mar 2021
Industrial object, machine part and defect recognition towards fully
  automated industrial monitoring employing deep learning. The case of
  multilevel VGG19
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19
Ioannis D. Apostolopoulos
Mpesiana A. Tzani
22
30
0
23 Nov 2020
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized
  Lp Norm
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm
Martin Mayr
M. Hoffmann
Andreas Maier
Vincent Christlein
UQCV
19
48
0
30 Jan 2020
Solar Cell Surface Defect Inspection Based on Multispectral
  Convolutional Neural Network
Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network
Haiyong Chen
Yue Pang
Qidi Hu
Kun Liu
8
157
0
15 Dec 2018
Segmentation of Photovoltaic Module Cells in Uncalibrated
  Electroluminescence Images
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images
S. Deitsch
C. Buerhop‐Lutz
E. Sovetkin
A. Steland
Andreas Maier
F. Gallwitz
Christian Riess
24
62
0
18 Jun 2018
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