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
Sector: Bridge • Location: Germany
Source: EU Funding & Tenders Portal
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 OP
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | 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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
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