Robotic Vision System for Automatic Inspection & Evaluation of Solar Plants

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The Robotic vision system project will develop a cost-effective robotic inspection system for automated monitoring of concentrating solar power and solar photovoltaic power plants using cameras mounted on ground and aerial drones. After initial construction, the primary costs associated with a solar power plant are cleaning and maintenance. Accumulation of dust, dirt, or other contaminants, and defective panels can be a significant source of lost power production.Project innovationThis is the first time in the world that intelligent drones and innovative computer vision solutions will be used for automated inspection of solar power plant facilities.This project will develop a system that measures the accumulated dust on the panels and diagnose possible defects to determine efficient maintenance and cleaning procedures.Advanced data driven and deep learning based techniques will aim to dramatically improve the accuracy of analysis. Novel and inexpensive sensor configurations will be used to deliver automatic methods for mapping, visualising, and optimal route planning, which could ultimately enable cost-effective cleaning procedures.

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