Optimizing feature extraction and fusion for high-resolution defect ...

Defect detection in solar cells is a critical task that has attracted significant attention due to the increasing demand for high-quality solar photovoltaic systems. Traditional methods for detecting defects in solar cells often involve manual inspection or basic image processing techniques, which are labor-intensive, time-consuming, and prone ...

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An efficient and portable solar cell defect detection system

The photovoltaic (PV) system industry is continuously developing around the world due to the high energy demand, even though the primary current energy source is fossil fuels, which are a limited ...

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Anomaly detection in electroluminescence images of heterojunction solar ...

Efficient defect detection in solar cell manufacturing is crucial for stable green energy technology manufacturing. This paper presents a deep-learning-based automatic detection model SeMaCNN for classification and anomaly detection of electroluminescent images for solar cell quality evaluation. ... High peak current required for high ...

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A Survey of CNN-Based Approaches for Crack …

Detection of cracks in solar photovoltaic (PV) modules is crucial for optimal performance and long-term reliability. The development of convolutional neural networks (CNNs) has significantly improved crack …

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An efficient and portable solar cell defect detection system

Solar cell defects are a major reason for PV system efficiency degradation, which causes disturbance or interruption of the generated electric current. In this study, a …

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Solar Cells and Photodetectors

Depending on the device structures and operating modes, photonic devices can in general be divided into three categories: (i) PV devices (i.e., solar cells), which convert sunlight directly into electricity by generating electron–hole pairs in a solar cell via internal PV effect, (ii) photodetectors, which detect photons or optical signals ...

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Development of solar cell for large area position detection: proof …

where I X 1 is electrode X1 output current; I X 2 is electrode X2 output current; X A is the distance from the light spot to the center of the PSD; X B is the distance from the light spot to the electrode X1; L X is the resistance length.. Further, Figure 2 shows the main features of the crystalline silicon (c-Si) solar cell. The absorber material is a moderately doped p-type wafer.

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Solar cells micro crack detection technique using state-of-the-art ...

The detection method mainly focuses on deploying a mathematically-based model to the existing EL systems setup, while enhancing the detection of micro cracks for a full-scale PV module containing 60 solar cells that would typically take around 1.62s and 2.52s for high and low resolution EL images, respectively.

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Early thermal aging detection in tin based perovskite solar cell

The effect of temperature on the diode ideality factor in the early aging process in the T-PSC is illustrated in Fig. 7.The ideality factor a = 1 represents a solar cell with good performance and the cell functioning is decreased by the increment of this value from one. Similar to the R s, this value is monotonically increased during the time which represents the aging …

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Research of Solar Cell Surface Defect Detection System Based …

According to the surface quality problem of the solar cells, the machine vision detection system is designed, and the intelligent detection and classification of theSolar cell defect recognition model can be achieved. According to the surface quality problem of the solar cells, the machine vision detection system is designed. Concept design of the visual …

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Enhancing Solar Plant Efficiency: A Review of Vision-Based

Over the last decades, environmental awareness has provoked scientific interest in green energy, produced, among others, from solar sources. However, for the efficient operation and longevity of green solar plants, regular inspection and maintenance are required. This work aims to review vision-based monitoring techniques for the fault detection of photovoltaic (PV) …

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Self-powered flexible all-perovskite X-ray detectors …

The synergistic effect of these two components ultimately leads to a self-powered flexible all-perovskite X-ray detector that delivers high sensitivity of 600–1,270 μC/mGy air cm 3 under X-ray irradiation and fast …

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Co-adsorbed self-assembled monolayer enables high …

Self-assembled monolayers (SAMs) have become pivotal in achieving high-performance perovskite solar cells (PSCs) and organic solar cells (OSCs) by significantly minimizing interfacial energy losses.

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Organic solar cells as high-speed data detectors for visible light ...

Solar cells with large areas of detection and lens-free operation have been proven to be effective in alleviating link alignment problems [15].

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Defect detection and quantification in electroluminescence images of ...

Methods for defect detection and classification in EL images include: statistical methods for pixel-level crack detection [16], Random Forests (RFs) and SVMs for detection of finger defects, cracks, and inactive regions [11]; CNNs for classification of good, cracked or corroded cells [12]; CNNs for classification of solar cells with cracks ...

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Dual spin max pooling convolutional neural network for solar cell …

EL imaging is a technique used to visualize the electrical activity within a solar cell. In this process, a high-voltage electrical current is applied to the solar cell, causing it to...

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Detection of hot spot defects for crystalline solar cell

Detection of hot spot defects for c-Si solar cell module is studied by a high-resolution infra-red (IR) system with a resolution of 200 m in minimum. To compare the temperature effect generated by the hot spot defects, different types of damages were imposed in the solar cells while a non-damaged counterpart was studied as a control sample. The solar cell module was applied …

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Building Supramolecular Chirality in Bulk Heterojunctions Enables ...

Chiral supramolecular architectures deliver desired properties and functions to artificial systems. The recently developed direct circularly polarized light (CPL) detection is based on electronic devices with chiral active layers that inform photocurrent dissymmetry (gsc) upon illuminations of opposing CPL. Due to limited absorption dissymmetry (gabs) in the chiral active …

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ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model …

The photovoltaic technology industry is a key development field in response to global renewable energy demands. The efficiency of fault detection in solar cells, a core component, is vital. Traditional manual fault detection is inefficient and costly, and existing deep learning models lack accuracy and speed. To address these problems, this study proposes the ESD-YOLOv8 …

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ISEE: Industrial Internet of Things perception in solar cell detection ...

These studies have proposed solutions from various aspects for this problem, but the accuracy of online detection of solar cells is not high. The degree of automation is also low. ... In industry, people pass 1-40 mA forward current to the cell through EL to act on both sides of the diffusion junction. The forward bias voltage excites the atoms ...

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A PV cell defect detector combined with transformer and attention ...

We analyzed the performance metrics, frames per second (FPS), and model size of various PV defect detection algorithms, demonstrating that our proposed method achieves …

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Hybrid halide perovskite neutron detectors | Scientific Reports

The instability of the material to humidity, high temperatures and light is still limiting these devices from full commercialization, especially perovskite solar cells. However, for radiation ...

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[1807.10820] Automatic Processing and Solar Cell Detection in ...

Electroluminescence (EL) imaging is a powerful and established technique for assessing the quality of photovoltaic (PV) modules, which consist of many electrically connected solar cells arranged in a grid. The analysis of imperfect real-world images requires reliable methods for preprocessing, detection and extraction of the cells. We propose several …

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Detection using Artificial Intelligence User-Friendly Defective …

Manual detection of defects in solar cells can be difficult and tedious Lack of detection can lead to solar system efficiency degradation, leading to an interruption in electric current and energy production What are solar cells? Why are they important?: Solar cells use solar energy to produce energy and are the main

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Comparison of Outdoor and Indoor PL and EL Images in Si Solar Cells …

Nowadays, silicon solar plants consist of hundreds of thousands of panels. The detection and characterization of solar cell defects, particularly on-site, is crucial to maintaining high productivity at the solar plant. Among the different techniques for the inspection of the solar cell defects, luminescence techniques provide very useful information about the spatial …

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High-Precision Defect Detection in Solar Cells Using …

This study presents an advanced defect detection approach for solar cells using the YOLOv10 deep learning model. Leveraging a comprehensive dataset of 10,500 solar cell images annotated with 12 distinct …

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An efficient and portable solar cell defect detection system

solar cells, automatic detection of solar cell defects and solar station efficiency has become an imperative. Various research applications to automatically detect solar cell defects have been conducted, but there have been few investigations on EL imaging. Furthermore, these earlier recent studies [6–17] that relied on EL imaging were

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Automated visual inspection of solar cell images using adapted ...

The surface of solar cell products is critically sensitive to existing defects, leading to the loss of efficiency. Finding any defects in the solar cell is a significantly important task in the quality control process. Automated visual inspection systems are widely used for defect detection and reject faulty products. Numerous methods are proposed to deal with defect …

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A PV cell defect detector combined with transformer and attention ...

El Yanboiy et al. 7 implemented real-time solar cell defect detection using ... emphasizing the application of high-performance detection algorithms ... Current models exhibit poor performance ...

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Solar Cell Surface Defect Detection Based on Improved YOLO v5

A solar cell defect detection method with an improved YOLO v5 algorithm is proposed for the characteristics of the complex solar cell image background, variable defect morphology, and large-scale differences. First, the deformable convolution is incorporated into the CSP module to achieve an adaptive learning scale and perceptual field size; then, the feature …

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Solar Cell Surface Defect Detection Based on Optimized YOLOv5

Traditional vision methods for solar cell defect detection have problems such as low accuracy and few types of detection, so this paper proposes an optimized YOLOv5 model for more accurate and ...

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High‐Precision Defect Detection in Solar Cells Using YOLOv10 …

This study presents an advanced defect detection approach for solar cells using the YOLOv10 deep learning model. Leveraging a comprehensive dataset of 10,500 solar cell images, annotated with 12 ...

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Eddy Current Imaging for Electrical Characterization of Silicon Solar ...

Byungguk et al. [104] used eddy current technique for defect detection of mono-and multi-crystalline silicon solar cells and compared its performance to electroluminescence (EL) and found it to be ...

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Characterization of fully-evaporated perovskite solar cells and ...

In recent years, the field of hybrid inorganic–organic photovoltaic devices has witnessed remarkable advancements, particularly in the realm of active layers based on perovskites 1,2,3,4.These ...

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Compressive light beam induced current sensing for fast defect ...

The electron beam induced current (EBIC) (Kittler et al., 2002, Reuter et al., 2011) method measures the variation of the induced solar cell current under the electron beam of a scanning electron microscope (SEM) that is directed onto a solar cell. The spatial resolution of EBIC is very high and thus it has become one of the best ways to assess ...

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Automated defect identification in electroluminescence images of solar ...

The edges of solar cells are the darkest and appear as dips in Fig. 3 (c). We use ''signal nd_peaks'' tool from Scipy (Virtanen et al., 2020) to find the positions of those dips. After we find the positions of edges of solar cells in each split, we fit those positions to compute a line that represents each edges, shown in Fig. 3 (e).

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Low dark current with high-speed detection in a scalable …

The SAM-based PPDs show a lowest dark current of 1.48 × 10 − 10 A/cm 2 and fast response down to 580 ns for an active area of 10 mm 2. The reverse saturation current …

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Research on hot spot risk for high-efficiency solar module

Solar cells with different type of defects and solar modules with different output power were picked to conduct the hot spot experiments, in which the leakage currents for the defected solar cells and the high-efficiency module cells (normal cells) were less than 1.5 A and 0.1 A, respectively, for an applied negative bias of 12 V.

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BAF-Detector: An Efficient CNN-Based Detector for …

BAF-Detector: An Efficient CNN-Based Detector for Photovoltaic Solar Cell Defect Detection Binyi Su, Haiyong Chen, and Zhong Zhou, Member, IEEE Abstract—The multi-scale defect detection for solar cell electroluminescence (EL) images is a challenging task, due to the feature vanishing as network deepens. To ad-

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Efficient Lightweight Network with Transformer-Based Distillation …

Figure 1 shows some examples of electroluminescence images of solar cells, these high-resolution images are often used for micro-crack detection. ... we believe that the current micro-crack detection models based on the common convolutional neural networks are too redundant for the micro-crack detection task. Therefore, we propose Incomplete ...

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