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Windrone Zenith SIGNED

Autonomous & Intelligent UAV-based Wind Turbine Inspection System for Cost-effective, Reliable, Safe and Actionable Blade Fault Detection and Prediction

Total Cost €


EC-Contrib. €






 Windrone Zenith project word cloud

Explore the words cloud of the Windrone Zenith project. It provides you a very rough idea of what is the project "Windrone Zenith" about.

fault    detection    defects    direct    largely    ground    maintenance    inspection    attributed    generate    vehicles    blades    winddrone    hours    hardware    25    provides    detect    inefficient    flaws    image    manual    aerial    breakthrough    relies    accurate    decreases    equipped    reporting    review    fly    inspected    experts    actionable    capturing    blade    undetected    quality    customer    poor    zenith    solution    reports    lifetime    expensive    6x    closer    saving    automated    time    outdated    platform    manually    bladeinsight    smart    majority    inspecting    learning    collisions    operation    flight    cameras    images    single    uavs    inspect    uav    pro    backlight    drone    wind    roping    unmanned    leaves    downtime    total    pictures    consuming    automatically    captured    software    coupled    customers    faults    1500    autonomously    database    machine    algorithms    levelised    50    turbine    inspectors    hazardous    qualified    cloud   

Project "Windrone Zenith" data sheet

The following table provides information about the project.


Organization address
address: SINES TECNOPOLO Z.I.L. II, 122-A
city: SINES
postcode: 7520-309
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Portugal [PT]
 Total cost 1˙956˙416 €
 EC max contribution 1˙339˙396 € (68%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2021-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PRO-DRONE, SA PT (SINES) coordinator 1˙339˙396.00


 Project objective

'Over the lifetime of a wind turbine, operation and maintenance costs represent 25% of total levelised cost per kWh produced. The majority of these costs are attributed to the wind turbine’s blades, yet current methods of inspecting these blades are outdated and inefficient. Blade inspection procedures still largely relies on qualified inspectors roping down each blade to manually inspect for any flaws or defects present on the blade. This is clearly a very hazardous, time-consuming (5 hours), and expensive method (€1500). Other less used methods of blade inspection include capturing blade images from ground cameras and manual review by experts. However, poor image quality and strong backlight leaves many blade flaws undetected. Unmanned Aerial Vehicles (UAVs) are now being used to take pictures of the blades from much closer up. Current UAV's however require dedicated experts for both flight control as well as image processing, analysis, and fault detection. Pro-Drone's integrated WindDrone Zenith’s solution is a breakthrough solution providing enabling 3-blade inspection in a single flight. Our technology solution is fully equipped with highly accurate inspection equipment hardware coupled with smart software. The software allows the UAV to be fly autonomously, avoid collisions, automatically detect any faults, and generate reports for the customer on each wind turbine inspected. Machine learning algorithms are used to continuously improve automated fault detection based on a growing database of captured images and their analysis. Our 'BladeInsight' cloud reporting platform makes actionable reports available to our customers as part of this solution. Pro-Drone Zenith provides for a 50% direct cost saving, and decreases turbine inspection downtime by 6X, as compared to existing methods.'

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The information about "WINDRONE ZENITH" are provided by the European Opendata Portal: CORDIS opendata.

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