Fast And Reliable Surveillance and Identification of Ground asseTs from Space

Informations projet

FARSIGHTS

N° de convention de subvention: 791225

DOI 10.3030/791225

Projet clôturé

Date de signature de la CE 30 Novembre 2017

Date de début 1 Decembre 2017

Date de fin 31 Mai 2018

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space

Coût total € 71 429,00

Contribution de l’UE € 50 000,00

Coordonné par

SKANSENSE SL
Spain

Objectif

With over 400 satellites in orbit generating over 100 Petabytes (2022) Satellite imagery analytics are becoming the bottle neck in the Earth Observation data chain. As shown in the Malaysia Airlines flight case, current object detection technologies, Templates, Geometric knowledge-based and Machine Learning, cannot cope with Earth Observation Big Data on an efficient and effective way.

SkanSense is solving this problem with FARSIGHTS a patented technology to locate fully automatically (no human supervision) objects in satellite imagery, even without knowing its size and shape. The FARSIGHTS technology is being developed into a software-as-a-service product having in mind the emerging cloud based Earth Observation digital platforms, and GIS software suites that are transforming the Earth Observation services value chain.

Phase I Feasibility Study will be focused on product validation with end-users and strategic partners while we continue the technical development (see figure 6). We will meet coating manufacturers, EO digital platforms and GIS vendors (see stakeholders in 3.1.a). Their feedback will enable completing our IR signatures library, performing additional tests and gathering additional requirements to configure the product range and Phase II product development plan. In addition, we will carry out a thorough assessment of the market, IPR and regulatory landscapes. Finally, a Financial Feasibility study will be performed to complete all the elements of a full Business Plan deliverable.

Champ scientifique

• engineering and technology › materials engineering › colors
• engineering and technology › mechanical engineering › vehicle engineering › aerospace engineering › satellite technology
• natural sciences › computer and information sciences › data science › big data
• engineering and technology › materials engineering › coating and films
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programme(s)

• H2020-EU.2.1.6. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space Main Programme
• H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument

Thème(s)

• SMEInst-04-2016-2017 - Engaging SMEs in space research and development

Appel à propositions

H2020-SMEInst-2016-2017

Voir d’autres projets de cet appel

Sous appel

H2020-SMEINST-1-2016-2017

Régime de financement

SME-1 - SME instrument phase 1

Coordinateur

SKANSENSE SL

• Contribution nette de l'UE: € 50 000,00
• Adresse: AV GREGORIO PECES BARBA 1 ; 28919 LEGANES ; Espagne
• PME L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention. Oui:
  Région
  Comunidad de Madrid › Comunidad de Madrid › Madrid
• Région: Comunidad de Madrid › Comunidad de Madrid › Madrid
• Type d’activité: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Coût total: € 71 429,00