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PLMSAT SIGNED

Power line vegetation monitoring and maintenance optimization with satellite imagery

Total Cost €

0

EC-Contrib. €

0

Partnership

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 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.

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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.

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

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