Project description
Autonomous technology for aircraft inspection
Airworthiness inspection, performed either during the aircraft’s manufacturing phase or while it is in service, is crucial for ensuring flight safety. However, the lack of a comprehensive end-to-end technology solution that assists inspection, complete defect identification and categorisation as well as report generation renders inspections tedious, time-consuming and expensive. The EU-funded DRONYTHING project is supporting the Spain-based company of the same name in developing autonomous technology that should help reduce the per-flight hourly maintenance cost. The proposed solution will help aircraft maintenance firms leverage drone technology and image processing powered by AI to conduct aircraft inspections.
Objective
Dronything S.L. is a privately held company founded in Spain with the vision of guaranteeing that every aircraft can fly more and do what they are best at – helping people fly while spending less time in the hangar. After successfully piloting the prototype version of Dronything’s technology, the team can confirm the capability of its breakthrough product to open new markets in Europe with the potential for rapid growth.
By pursuing the present feasibility study, the management team aims to improve its understanding of international market conditions and the associated risks that need to be considered as the company develops a deeper business plan for rolling out and scaling up Dronything as a marketable innovative solution. SME Instrument Phase-1 and Phase-2 will be extremely beneficial in helping the company to accelerate development and attain the targeted market penetration of the Dronything solution, boosting the company’s growth to 130 employees and € 78,820,000 in revenues by 2025.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
28036 MADRID
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.