Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/2133
Title: Advanced Image Processing Based Solar Panel Dust Detection System
Authors: Karima, Nazmun Nahar
Saikat, Mahmudul Hasan
Rimon, Md Kamruzzaman
Molla, Md Sumon
Bhuyan, Muhibul Haque
Keywords: Solar Panel
Dust Detection
Image Processing
NVIDIA Jetson microcontroller
Cost Efficiency
IoT-based Automated System
Issue Date: 27-Feb-2024
Publisher: IEEE
Citation: N. N. Karima, K. Rimon, M. S. Molla, M. Hasan, and Muhibul Haque Bhuyan, “Advanced Image Processing Based Solar Panel Dust Detection System,” Proceedings of the 26th International Conference on Computing and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 13-15 December 2023, pp. 1-6. Published on 27 February 2024. DOI: https://doi.org/10.1109/ICCIT60459.2023.10441647.
Abstract: In this research paper, a novel, fast, and self-adaptive image processing technique is proposed for dust detection and identification, and extraction of solar images this technique uses computer vision algorithms and machine learning models to autonomously recognize dust particles on solar panels using a dust detect camera. An image processing technique was used to detect dust on the solar panel for optimum operation of a PV panel, and hence to increase the generation of renewable energy. After analyzing several image processing techniques, an advanced image processing method has been used for dust identification purposes. This image processing is done by the Visual Studio software. To detect dust on solar panels, various clean and dusty solar panel images were collected, and the database was created. Then image processing technique was applied to detect whether the panel was dusty or clean. The results were analyzed in various ways. The analysis revealed that the image processing techniques can be applied effectively to detect the dust on solar panels. This technique may help to clean the solar panel and thus generate more electrical output power from the solar energy.
Description: This work is based on a UG capstone project. There are several segments of this research project.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/2133
Appears in Collections:Publications From Faculty of Engineering

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