Authors : Dr. Rakshith K; Keerthana A; Sneha Pundalik Maneppagol; Suhas M S; Rashmitha K

Volume/Issue : Volume 10 - 2025, Issue 5 - May

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Google Scholar : https://tinyurl.com/5cnp6r2t

DOI : https://doi.org/10.38124/ijisrt/25may1560

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Solar energy systems are highly efficient but suffer from performance degradation due to dust accumulation on solar panels. Manual cleaning is labor intensive, time consuming, and often unfeasible in remote areas. This project presents a smart, automated solar panel cleaning robot integrated with Arduino UNO, ESP32-CAM, and PC-based monitoring. The ESP32-CAM captures real-time images of the panel, which are processed to detect the dust level. If the panel is identified as dirty, the robot is activated to clean the surface; otherwise, it remains idle, conserving energy and water. The system ensures optimal performance of solar panels while reducing human intervention and maintenance costs.

Keywords : Solar Energy Systems , Performance Degradationdust Accumulation, Automated Cleaning, Solar Panel Cleaning Robot, Arduino UNO, ESP32-CAM, Real-Time Image Processing, Dust Level Detection, Energy Conservation, Remote Monitoring,PC- Based Monitoring, Smart Cleaning System, Maintenance Cost Reduction, Autonomous System.

References :

1. “ Multi-instrumental Analysis of Tissues of     Sunflower Plants Treated with Silver(I) Ions – Plants as Bioindicators of Environmental Pollution “by   Sona Krizkova ,Pavel Ryant, Olga Krystofova ,Vojtech Adam ,Michaela Galiova
2. “IoT Based PV panel Cleaning System” By: J     Samuel, Dr. B. Rajagopal
3. Data-driven soiling detection in PV modules       By Alexandros Kalimeris, Ioannis Psarros, Giorgos Giannopoulos, Manolis Terrovitis, George Papastefanatos, Gregory Kotsis.