Review of microcrack detection techniques for silicon solar cells
Microcracks at the device level in bulk solar cells are the current subject of substantial
research by the photovoltaic (PV) industry. This review paper addresses nondestructive …
research by the photovoltaic (PV) industry. This review paper addresses nondestructive …
A review of deep learning-based approaches for defect detection in smart manufacturing
Z Jia, M Wang, S Zhao - Journal of Optics, 2024 - Springer
Automatic detection of surface faults or defects from images plays a crucial role in ensuring
quality control in smart manufacturing. Traditional image processing techniques have …
quality control in smart manufacturing. Traditional image processing techniques have …
[PDF][PDF] Deep Learning-Based Model for Defect Detection and Localization on Photovoltaic Panels.
S Prabhakaran, RA Uthra… - … Systems Science & …, 2023 - academia.edu
The Problem of Photovoltaic (PV) defects detection and classification has been well studied.
Several techniques exist in identifying the defects and localizing them in PV panels that use …
Several techniques exist in identifying the defects and localizing them in PV panels that use …
Micro-cracks detection of solar cells surface via combining short-term and long-term deep features
The machine vision based methods for micro-cracks detection of solar cells surface have
become one of the main research directions with its efficiency and convenience. The existed …
become one of the main research directions with its efficiency and convenience. The existed …
Solar cell surface defects detection based on computer vision
X Qian, H Zhang, H Zhang, Y Wu, Z Diao… - International Journal …, 2017 - ijpe-online.com
Various types of defects exist in the solar cell surface because of some uncontrollable
factors during the process of production. The solar cell surface defects detection is …
factors during the process of production. The solar cell surface defects detection is …
Defect detection of polycrystalline solar wafers using local binary mean
JS Ko, JY Rheem - The International Journal of Advanced Manufacturing …, 2016 - Springer
Polycrystalline solar wafers consist of various crystals and their surfaces have
heterogeneous textures. The conventional defect detection methods cannot be applied to …
heterogeneous textures. The conventional defect detection methods cannot be applied to …
Automated visual inspection for bottle caps using fuzzy logic
Automated Visual Inspection System (AVIS) has the capability to investigate large numbers
of manufactured goods quickly and accurately. In addition, this system operates with a high …
of manufactured goods quickly and accurately. In addition, this system operates with a high …
Surface third and fifth harmonic generation at crystalline Si for non-invasive inspection of Si wafer's inter-layer defects
Detection of inter-layer and internal defects in semiconductor silicon (Si) wafers by non-
contact, non-destructive and depth-resolving techniques with a high lateral and depth …
contact, non-destructive and depth-resolving techniques with a high lateral and depth …
Defect detection on solar cells using mathematical morphology and fuzzy logic techniques
W Junchao, Z Chang - Journal of Optics, 2024 - Springer
Solar cells or photovoltaic systems have been extensively used to convert renewable solar
energy to generate electricity, and the quality of solar cells is crucial in the electricity …
energy to generate electricity, and the quality of solar cells is crucial in the electricity …
基于机器视觉的太阳能电池片表面缺陷检测研究现状及展望
钱晓亮， 张鹤庆， 陈永信， 曾黎， 刁智华… - 北京工业大学 …, 2017 - journal.bjut.edu.cn
鉴于基于机器视觉的太阳能电池片表面缺陷检测方法具有操作简便, 检测精度高的优势,
对此类方法所涉及的各个环节进行了综述. 首先, 对太阳能电池片表面的各种成像方式和常见 …
对此类方法所涉及的各个环节进行了综述. 首先, 对太阳能电池片表面的各种成像方式和常见 …