FORSEES SIGNED
Perspective of a real-time structural analysis tool assistant based on Computer Vision and Human Intuition
Total Cost €
0EC-Contrib. €
0Partnership
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0FORSEES project word cloud
Explore the words cloud of the FORSEES project. It provides you a very rough idea of what is the project "FORSEES" about.
Project "FORSEES" data sheet
The following table provides information about the project.
| Coordinator |
POLITECNICO DI TORINO
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Total cost | 251˙002 € |
| EC max contribution | 251˙002 € (100%) |
| Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
| Code Call | H2020-MSCA-IF-2018 |
| Funding Scheme | MSCA-IF-GF |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-10-01 to 2022-10-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | POLITECNICO DI TORINO | IT (TORINO) | coordinator | 251˙002.00 |
| 2 | MASSACHUSETTS INSTITUTE OF TECHNOLOGY | US (CAMBRIDGE) | partner | 0.00 |
Map
Project objective
Many of today’s world challenges cover the domain of safety and civil society. In a world like this the need for doctors and diagnosticians of the complex building and infrastructures organisms is imperative and high-priority. The number of variables have exponentially risen and the expert point of view is becoming more and more out of reach. The gap that just some decades ago would have required some years of work experience can be closed nowadays only with the help of new technologies. Artificial Intelligence (AI) is displaying all its power for diagnosing pathologies and diseases in Human Medicine. Imagine to apply the same framework for buildings in order to have the real-time health of the living architectures. Computer science and data analytics are capable of extracting patterns from these data and of producing a knowledge graph of the external reality. The project integrates digital pattern perception with human percepetion models. This models are object of studies for cognitive neurosciences, and by monitoring neurofunctional activity it could be possible to grasp and interpret where a structural intuition resides when a human performs related simple tasks. This structural intuition, in form of a mathematical structure (algorithmic relations), would create an AI tool as structural assistant to see the forces alive by a Computer Vision device. It would represent the growth of a sixth sense for real time structural analyses, building risk perception and architectures performance investigation. The chosen research institutions to carry out in the project are: Structural Engineering Department (DISEG) of Politecnico di Torino, MIT Senseable City Lab and BioRobotic Institute of Scuola Superiore Sant’Anna di Pisa as Secondment. The intelligent structural assistant that represents the research goal will rise up the knowledge to the level of extensive prediction, opening humans to a knowledge based on imaging and exploring more than focus and execution.
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