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Home Digital Transformation Machine Learning

Machine-learning nanosatellites to monitor global trade

IoTNews.com by IoTNews.com
September 11, 2020
in Machine Learning
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Machine-learning nanosatellites to monitor global trade
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Nanosatellites, built in Glasgow, will join a fleet of more than 100 objects in low Earth orbit that help to predict the movement of the world’s resources, so that businesses and governments can make informed decisions.

The four satellites are due to be launched this month, two aboard an Indian PSLV launcher and another two on a Russian Soyuz launcher. Spire uses automatic identification systems aboard ships to track their whereabouts on the oceans. Its network picks up the identity, position, course and speed of each vessel.

Thanks to onboard intelligent machine-learning algorithms, it can predict vessel locations and the ship’s estimated time of arrival at port, enabling port authorities to manage busy docks safely and market traders to price the goods carried aboard.

Spire staff design and build all the sub-systems, and integrate and test the whole spacecraft in the company’s Glasgow headquarters.

The satellites have been built by Spire Global UK, a satellite-powered data company that provides predictive analysis or global shipping, aviation and weather forecasting. These services have been developed under an ESA Pioneer programme, which is a partnership project co-funded by the UK Space Agency.

Graham Turnock, Chief Executive of the UK Space Agency, said: “Nanosatellites weigh less than a piece of cabin luggage, but are enormously powerful in what they can do. These four Spire satellites are aimed at making trade hyper-accurate, with technology that makes business more cost effective and efficient.

“Scotland’s space sector is booming. Our membership of ESA is benefiting companies across the UK, and we are committed to supporting the space economy in every region.”

Peter Platzer, chief executive and co-founder of Spire Global, said: “Spire is all about helping our customers know what is next, so they can make better decisions. This month we are moving this forward by launching a true super-computer into orbit – 1-2 teraflops! – so that we can analyse data right in orbit, using smart algorithms and machine learning.

“This will allow us to get better, smarter and faster analytics to our customers for their business decisions.”

Despite the coronavirus pandemic, work has progressed with full support from the UK Space Agency who, working with the European Space Agency, have extended exceptional financial support to small and medium-sized enterprises working in the space industry.

Elodie Viau, Director of Telecommunications and Integrated Applications at ESA, said: “These are yet another example of innovative services provided by Spire under the ESA Pioneer programme that maximises benefits to industry thanks to an efficient co-management approach tailored to commercial best practices.”

ESA’s Pioneer programme is one of the partnership projects that is aimed at de-risking partners’ investments, answering market needs. It is part of ESA’s programme of Advanced Research in Telecommunication Systems (ARTES).

Pioneer supports the emergence of commercial European entities with the ability to offer fast and affordable access to space to public and private customers in the field of satellite telecommunications.

The programme creates new opportunities for both established and new players in the fast-changing and competitive satellite communications market.

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Source: Spire Global, Inc
Tags: machine learningMLNanosatellitessatellitesspace
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