Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. plmsat

PLMSAT SIGNED

Power line vegetation monitoring and maintenance optimization with satellite imagery

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 PLMSAT project word cloud

Explore the words cloud of the PLMSAT project. It provides you a very rough idea of what is the project "PLMSAT" about.

ingest    seal    paying    stringent    low    grants    relies    expertise    automatically    june    team    distance    hi    agency    sme    imagery    monitoring    acquisition    models    disrupt    obliges    start    paper    awarded    aerial    ai    excellence    human    vegetation    operation    risky    services    market    received    worked    designed    edge    producers    skills    customers    global    comply    environmental    space    artificial    regulation    huge    dramatically    closely    natural    regarding    refined    res    trimming    insurance    timber    grid    13    electricity    pulp    risk    ready    learning    flag    risks    perform    grids    data    evaluation    business    techniques    deep    exposed    solid    save    obstacles    39    expenses    15    platform    founded    analyze    leverage    map    lines    planning    power    tesselo    prevent    severe    instrument    clean    core    proprietary    association    optimize    cutting    networks    money    science    portuguese    companies    compliance    2019    intelligence    differentiating    2017    inspections    innovative    powered    satellite    resolution    solution    monitor   

Project "PLMSAT" data sheet

The following table provides information about the project.

Coordinator		 SPACE MOSAIC LDA 

Organization address
address: EDIFICIO DNA CASCAIS CRUZ DE POPA S
city: ALCABIDECHE
postcode: 2645 449
website: n.a.

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 Portugal [PT]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-11-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SPACE MOSAIC LDA PT (ALCABIDECHE) coordinator 50˙000.00

Map

 Project objective

Tesselo is a European start-up founded in 2017. Our core business is to leverage space data and Artificial Intelligence to map natural risks and ensure compliance to environmental regulation. We are now ready to apply our core-business technology to an innovative solution likely to disrupt power grid monitoring & insurance market: power lines monitoring using low cost-low resolution space imagery and deep learning AI models. This solution was awarded a seal of excellence (13,39/15) in SME Instrument evaluation in June 2019,we have refined it ever since.

Since 2017, we have worked with the Portuguese association of Pulp and Paper producers and received 3 grants from the European Space Agency to develop our technology. We have built a solid expertise in the timber sector powered by state-of-the-art AI/deep learning techniques with paying customers. We now want to apply this knowledge to solve a global challenge: prevent natural risk around power lines.

Electricity companies have to manage huge power lines grids exposed to severe vegetation-related risk. They have to comply to stringent regulation regarding distance to vegetation and obstacles, which obliges them to closely monitor networks. Today, monitoring relies on aerial hi-res imagery and human inspections and represents huge expenses. Our solution: map all grid with low cost low resolution (10 m) and flag risky areas where and when high resolution and trimming are necessary. We dramatically optimize data acquisition and operation planning, ensure legal environmental compliance and help save money.

To deliver our services, we analyze satellite imagery with AI models and environmental science. Our main differentiating factor: our cutting-edge technology. Tesselo has designed a proprietary business-ready platform, able to automatically ingest, clean and analyze satellite imagery with AI, at any scale.

Our team gathers all the skills to perform core business activities.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PLMSAT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PLMSAT" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

CAARESYS (2019)

CAARESYS: vehicle passenger monitoring system based on contactless low emission radio frequency radar.

Read More  

TAPPXSSAI (2019)

Development of a system for automatic ad insertion into on-demand streaming video to provide new monetization mechanisms to the media industry

Read More  

Colourganisms (2020)

Microbial production of custom-made, pure and sustainable anthocyanins

Read More