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Vision-based Inspection Systems for automated Testing of Aircraft interiors

Project description

Revolutionising aircraft interior testing

Imagine boarding an aircraft with the confidence that every interior component, from the cabin to the cargo area, has undergone testing for quality and reliability. Currently, testing is a time-consuming process with room for human error. The consequences of overlooked flaws or faulty components can range from compromised passenger comfort to serious safety hazards. The EU-funded VISTA project aims to tackle this issue through the development of a multi-sensor platform and advanced algorithms for automated testing and quality assessment. By integrating a range of optical devices, including 3D-vision sensors for surface inspection, VISTA enables 3D modelling of aircraft interiors. Moreover, it also considers the human factor by generating and displaying quality reports with virtual and augmented reality solutions specifically tailored for on-site validation of the automated inspections.

Objective

The VISTA project aims to post-assembly testing of aircraft interior installations in both cabin and cargo units in order to ensure quality and reliability of located components. This goal will be pursued by the development and implementation of a multi-sensor platform and sensor processing algorithms, integrating on-board a mobile system and an interface for data transmission, able to provide efficient automated testing and quality reports. In detail, multiple optical devices, including 3D LIDAR, omnidirectional laser profilometers, RGB-D, and (stereo) vision sensors, integrated with on-board image processing hardware, will be tested for the 3D modelling of the aircraft interior. In addition, the sensor suite will include line scan cameras for colour inspection of surface quality. All sensors will be integrated on an automated guided vehicle (AGV) that will collect and store sensor measurements, while traversing both cabin and cargo areas. The collection of full 3D models, i.e. 3D models augmented with metadata, such as colour, material and texture, will feed high-level algorithms that will automatically determine tolerances of the components with respect to positioning, gap and flush, and assess surface quality in terms of texture, colour, and defects. An interface for data transmission will be developed and tested for visualization and documentation, which will be made available to the human operators via suitable interfaces based on Augmented Reality (AR).

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Topic(s)

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Funding Scheme

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CS2-IA - Innovation action

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Call for proposal

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(opens in new window) H2020-CS2-CFP06-2017-01

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Coordinator

CONSIGLIO NAZIONALE DELLE RICERCHE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 500 000,00
Address
PIAZZALE ALDO MORO 7
00185 Roma
Italy

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Region
Centro (IT) Lazio Roma
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 500 000,00

Participants (2)

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