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First fast and automated (<5 min) AI-based inspection to increase operational safety of large critical infrastructure, e.g., bridges, dams, and oil & gas platforms and refineries

Project description

A new era in smart, automated building inspection

A significant portion of European infrastructure was constructed during the post-World War II period, particularly in the 1950s and 1960s. Now these ageing structures and facilities face a pressing dilemma as they reach the end of their lifespan. Valued at EUR 42.2 billion, the global inspection, repair, and maintenance market is facing the challenges of maintaining structures amid surging urbanisation. In response, the EIC-funded Twinspect project will develop a solution. Specifically, it will use photogrammetry to revolutionise infrastructure inspection. Twinsity’s innovative approach creates photorealistic 3D models, eliminating the need for laborious manual inspection of extensive photo libraries and ushering in a new era of efficient and intelligent maintenance.

Objective

The global inspection, repair, and maintenance market (TAM) is valued at €42.2B. Demand is driven by increasing urbanisation. In Europe, most of the infrastructure is now reaching its 50-100 years lifespan as it was built in the 50s and 60s following the Marshall plan. The drone inspection and monitoring market (SAM) is growing rapidly and is currently valued at €11.1B. Drone inspections enable OPEX & CAPEX savings and keep inspectors safe on the ground. This is driving the demand for data management solutions (one bridge inspection generates >30GB of data), and provides a unique opportunity for intelligence service providers, like us, to enter the market with innovative AI-based solutions that simplify and automate infrastructure inspection. Twinspect is the first photogrammetry solution to enable the inspection of photorealistic 3D models of the infrastructure directly, rather than having to inspect and annotate (often multiple times) defects in large (>2k) photo libraries manually.

Coordinator

TWINSITY GMBH
Net EU contribution
€ 2 497 425,00
Address
ESCHEBERGER STRASSE 2
34479 BREUNA
Germany

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Hessen Kassel Kassel, Landkreis
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 3 567 750,00