SolPowNet: Dust Detection on Photovoltaic Panels Using
The performance of the proposed model was evaluated by testing it on a dataset containing images of 502 clean panels and 340 dusty panels and comprehensively comparing it with
Improving Solar Panel Efficiency: A CNN-Based System for Dust
In this paper, we propose an image processing-based approach that uses a convolutional neural network (CNN) with the popular AlexNet architecture to detect dust on solar
A Hybrid Fuzzy–Support Vector Machine Framework for Real-Time
Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi-arid regions. While existing studies have separately explored image
Solar panel surface dust detection method based on deep learning
In this paper, we propose a novel convolutional neural network architecture based on the EfficientNet framework, customized for photovoltaic dust detection.
(PDF) Dust Detection on Solar Photovoltaic Panels Used in
As time passes, dust may form on the panels due to various weather conditions and environments where the panels are located. In order to maintain the panels in a timely manner and
Unified Deep Learning Platform for Dust and Fault Diagnosis in
We have implemented a model on detecting dust and fault on solar panels. These two applications are centralized as a single-platform and can be utilized for routine-maintenance and any other checks.
A detection model for dust deposition on photovoltaic (PV) panels
We integrate deep learning techniques and propose DVNET, an end-to-end PV dust detection model that estimates light transmittance using images of PV panels. This model accurately
Dust Detection Techniques for Photovoltaic Panels from a Machine
This paper provides an extensive review of dust detection techniques for photovoltaic panels. The review is conducted from two main perspectives. Firstly, the p
Solar Panel Surface Defect and Dust Detection: Deep Learning
In recent years, solar energy has emerged as a pillar of sustainable development. However, maintaining panel efficiency under extreme environmental conditions remains a persistent hurdle. This study
A new dust detection method for photovoltaic panel surface based on
At present, the main methods for detecting surface dust on solar photovoltaic panels include object detection, image segmentation and instance segmentation, super-resolution image