MARVEL
Assets
Identification of MARVEL building blocks
MARVEL Solution Assets
MARVEL is a Research and Innovation Action (RIA), so the expected Technology Readiness Level (TRL) is 5-6 on average, which involves a real-life environment technology validation and demonstration. This will be achieved, mostly, with the validation of the assets in the industrial-relevant smart city environments of Malta, Trento, and Novi Sad. Most of the assets will be tested in the MARVEL use cases.
The expected MARVEL framework will consist of 29 technologies developed under the project scope classified as:
1
Software/Hardware Developments
Τhis category refers to tangible outcomes, namely sensors and software solutions.
2
Methodologies
Τhey help to formalise user requirements into technological requirements.
3
Services
The word “Service” refers to the traditional meaning of IT services. These are future services offered around MARVEL, which aim at improving the effective use of MARVEL solutions and at providing in-depth customised assistance.
MARVEL Assets
the main aspects of the list of MARVEL Assets
- All
- Sensing and perception subsystem
- Data Management and Distribution Subsystem
- Audio visual and multimodal AI subsystem
- Optimised E2F2C processing and deployment subsystem
- E2F2C infrastructure
- User interactions and decision-making toolkit
- Security Privacy and Data Protection Subsystem
- software/hardware
- Methodology
- services
IPR Management
There are 29 assets owned by various owners. In addition, although it is still early, as some partners have not yet decided under which type of license, they want to market their results, there is a perceived mix of Open Source licenses, but also Proprietary licenses, so a 100% Open Source approach will not be possible. In the future, the asset owners will consider the possibility of releasing parts of the developed technologies under MARVEL as Open Source approach. The Open Source licenses provided up to now, as MIT or Apache 2.0 do not present incompatibilities among them.
Funding
This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.