The automatic and real-time processing of satellite images arrives on the cloud: this thanks to the DeeperVision artificial intelligence system by Thales Alenia Space (Thales-Leonardo), which will be added to the Microsoft Azure Orbital platform for the management of satellites.
This is foreseen by the new innovation project in the field of cloud technologies for space announced by Thales Alenia Space and Microsoft.
The goal of this initiative is to allow users to focus on the truly relevant content of satellite images, where human experience is key.
All this is made possible by DeeperVision, a system that uses artificial intelligence to process and analyze large volumes of Earth observation images in order to automatically detect how elements evolve over time and monitor areas of interest.
The information is automatically and continuously extracted from the images in real time, while the results are stored as metadata in a larger catalog.
"Cloud-scale satellite image processing is a revolutionary element for our customers who need these insights, based on artificial intelligence and machine learning, to be able to quickly make critical decisions for the success of their missions" says Tom Keane, Azure Global Corporate Vice President at Microsoft.
“Customers will benefit from all the capabilities of Thales Alenia Space's DeeperVision solution to process data flow and deliver timely information with Azure Orbital's cloud capabilities,” adds Clarence Duflocq, Vice President of Strategy & Innovation at Thales Alenia Space.
"This information is powered by high-speed, high-volume artificial intelligence, and machine learning to create an unprecedented impact on the planet and beyond!"
