Photovoltaic panel cleanliness analysis platform

Can AI detect soiling in solar photovoltaic panels?

This study presents an AI-assisted soiling detection methodology for inspecting solar photovoltaic (PV) panels, using UAV-captured RGB images. The proposed scheme introduces an autonomous end-to-end soiling detection model for common types of soiling in solar panel installations, including bird droppings and dust.

Can deep learning improve the maintenance of solar PV panels?

The results underscore the potential of combining deep learning with UAV technology for automating the maintenance of solar PV panels. By enabling precise and timely soiling detection, our approach paves the way for optimized cleaning schedules, supporting the sustained operational efficiency of solar installations.

How do solar panel cleaning technologies work?

Existing solar panel cleaning technologies predominantly involve manual methods, semi-automated robotic systems, and drone inspections. Manual methods are labor-intensive, expensive, and unsuitable for large-scale applications.

What is a robotic system used for cleaning solar panels?

Robot systems have been more commonly used for cleaning solar panels because they are efficient, scalable, and can be automated. Brush-based, water jet-based, and actuator-based robotic systems are generally deployed on land 21, 22.