Explore the words cloud of the PLMSAT project. It provides you a very rough idea of what is the project "PLMSAT" about.
The following table provides information about the project.
Coordinator |
SPACE MOSAIC LDA
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
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1 | SPACE MOSAIC LDA | PT (ALCABIDECHE) | coordinator | 50˙000.00 |
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.
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The information about "PLMSAT" are provided by the European Opendata Portal: CORDIS opendata.