Project description
Scientists building a cloud-based twin of the Earth
A digital twin of the Earth would enable and accelerate the development of services and technologies designed to facilitate the transition towards ‘smart cities’ and ‘smart services’. It would also constitute the backbone of what is defined as the 4th industrial revolution – a new chapter in human development that brings fundamental technology-driven changes in the way we live and work. In this context, the EU funded Nomoko project will bring to market a cloud-based engine powered to transform the world into a dynamic model based on a real-world, ultra-accurate and efficiently developed 3D model extracted from high-resolution imagery. It is built as a web platform with a graphical user interface to enable the integration of additional data about contextual information to semantically enhance the 3D model.
Objective
NomokoAG is a fresh start-up based in Switzerland whose innovation has received public recognition right from the beginning. Besides, the company entered “TOP100, The Best Swiss Start-ups in 2016”, received the 2016 ZKB Pionierpreis, than was elected among the “10 venture leaders in Technology 2017” and grew to be the “25th best Start-up of 2017 in Switzerland”. We provide solutions to automatically create “Artificial Reality”. With a strong belief that volumetric city-based 3D data is the future, we bring innovation to the digital mapping market, where accuracy is still a constraint for the development of several applications. Even if expecting to reach € 7.17 billion by 2025, the market is looking for alternatives able to raise the precision of digital maps at a cost-effective price. In this context, we offer a digital copy of the Earth – a platform where you can build digital solutions and products that are rooted in “reality”. Nomoko is a cloud based engine turning the world from a static model to a dynamic one thanks to a real-world based, ultra-accurate and efficiently developed 3D model environment extracted from very high-resolution imagery acquired with in-house developed technology (1 Giga pixel digital camera coupled to a drone). Built as a web platform with a graphical user interface, Nomoko enables the integration of additional data about contextual information to semantically enhance the 3D model (using machine learning algorithms to perform object classification and highlighting elements like: house, traffic sign, composing materials) and link information to an object for further analytics. We propose a Platform as a Service approach enabling partnerships in view of client based tailored services generation. This project will provide us the right means and support for further commercialization of our product and confirm our financial projections of € 45.5 million accumulate revenues and an 18.65 return of investment.
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.
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionobject detection
- 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
8048 ZURICH
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.