Scanfly is a unique innovative remote sensing device that allows 3D lidar mapping, specifically developed for use by drone. It is a product developed entirely by 3D Target s.r.l. that offers to its customers a service of supply of 3D data updated regularly for self-driving vehicles, but also designers, city planners and municipal infrastructure management companies.
Infrastructure, especially the road network, keeps Europe running. Roads ensure mobility - in the neighbourhood, municipality, the region or beyond. The quality of road network affects almost everybody in daily life. From a pure economic point of view spending in new or existing roads is an investment in the capital stock of our society.
The proposed solution introduces novelty and added value: thanks to its best performance - it allows to fully automatically analyse the actual state of the elements of urban and extra-urban assets - and its ease of use, Scanfly can immediate recognise the variations, compared to the previously noted status, which can lead to critical issues. The development of machine and deep learning algorithms will allow the automatic analysis of a whole series of elements necessary to populate databases from which V2I service providers and the end user (via app, web-portal, SMS alert) will be able to access through SaaS services to improve vehicle-infrastructure integration and road infrastructure-vehicle-user.
Scanfly addresses the needs of a large B2B and B2G user base including 91.489 in EU-28 among subjects responsible for the road infrastructures (private/public companies that manage infrastructures or own infrastructures; public property; service provider commissioned by previous users). They need to maintain the infrastructure to offer an objective risk level as low as possible. Thanks to Scanfly they have a fully automatic analysis of the actual conditions of the elements of the urban and extra-urban assets. Scanfly’s Total Addressable Market is 5.5bn EUR in EU-28.
Field of science
- /engineering and technology/environmental engineering/remote sensing
- /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning
Call for proposal
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