Efficient Cell Segmentation from Electroluminescent Images of Single-Crystalline Silicon Photovoltaic Modules and Cell-Based Defect Identification Using Deep Learning with Pseudo-Colorization

Efficient Cell Segmentation from Electroluminescent Images of Single-Crystalline Silicon Photovoltaic Modules and Cell-Based Defect Identification Using Deep Learning with Pseudo-Colorization

Solar cells may possess defects during the manufacturing process in photovoltaic (PV) industries. To precisely evaluate the effectiveness of solar PV modules, manufacturing defects are required to be identified. Conventional defect inspection in industries mainly depends on manual defect inspection...

Full description

Bibliographic Details
Main Authors: Horng-Horng Lin, Harshad Kumar Dandage, Keh-Moh Lin, You-Teh Lin, Yeou-Jiunn Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
electroluminescence image
single-crystalline silicon photovoltaic module
cell segmentation
defect detection
pseudo-colorization
Online Access:https://www.mdpi.com/1424-8220/21/13/4292

Internet

https://www.mdpi.com/1424-8220/21/13/4292

Similar Items