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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Horng-Horng, Dandage, Harshad Kumar, Lin, Keh-Moh, Lin, You-Teh, Chen, Yeou-Jiunn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271833/
https://www.ncbi.nlm.nih.gov/pubmed/34201774
http://dx.doi.org/10.3390/s21134292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271833/
https://www.ncbi.nlm.nih.gov/pubmed/34201774
http://dx.doi.org/10.3390/s21134292

Ejemplares similares