Opendata, web and dolomites

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.

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

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.)

DNA DS (2019)

DNA Data storage

Read More  

Keelcrab (2019)

Keelcrab the Drone for an automated hull cleaning: fast & essential

Read More  

CAARESYS (2019)

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

Read More