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FORSEES SIGNED

Perspective of a real-time structural analysis tool assistant based on Computer Vision and Human Intuition

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 FORSEES 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.

graph    humans    sixth    city    time    risk    vision    ai    pattern    technologies    infrastructures    civil    perception    prediction    diseg    computer    politecnico    alive    resides    imagine    models    doctors    imaging    imperative    chosen    diagnosing    neurofunctional    variables    power    analytics    sant    torino    performs    grasp    diagnosticians    algorithmic    assistant    producing    building    living    forces    organisms    buildings    superiore    mit    object    society    domain    science    exponentially    intuition    create    extensive    more    data    investigation    intelligent    intelligence    percepetion    di    structural    senseable    monitoring    interpret    integrates    pathologies    many    cover    human    tool    point    nowadays    neurosciences    opening    diseases    artificial    device    digital    sense    pisa    anna    biorobotic    safety    ago    expert    world    extracting    medicine    structure    gap    scuola    framework    closed    engineering    relations    exploring    performance    see    view    secondment    displaying    external    health    lab    patterns    architectures    carry    cognitive    form    decades    mathematical   

Project "FORSEES" data sheet

The following table provides information about the project.

Coordinator
POLITECNICO DI TORINO 

Organization address
address: CORSO DUCA DEGLI ABRUZZI 24
city: TORINO
postcode: 10129
website: www.polito.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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.

# participants  country  role  EC contrib. [€] 
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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The information about "FORSEES" are provided by the European Opendata Portal: CORDIS opendata.

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