Teledyne e2v receives grant to develop intelligent detection AI

December 08, 2020 //By Jean-Pierre Joosting
Teledyne e2v receives grant to develop intelligent detection AI
Intelligent detection based on real-time AI processes help manage high data volumes generated on space-based Earth Observation platforms aimed at tackling climate change.

Part of the Teledyne Imaging Group, the Teledyne e2v Space Imaging team has secured funding from the National Space Innovation Programme (NSIP) run by the UK Space Agency that will be used to demonstrate and help support intelligent detection on image processing platforms based on real-time artificial intelligence (AI) processes. The funding is in response to the 2020/2021 NSIP theme for “Earth Observation to Tackle Climate Change” and will be jointly delivered with Craft Prospect, based in Glasgow.

Christophe Tatard – Vice President Product and Business Development, Teledyne e2v said: “Providing a route to test and develop intelligent Earth observation solutions is an important UK capability to grow, building off our industry leading CMOS image sensor technology and partnering with Craft Prospect we are in a unique position to leverage the flexibility of our CMOS sensors designed for space applications.”

Earth Observation (EO) satellites have a significant role in monitoring both the causes and effects of climate change. This includes detecting and identifying sources of emissions, measuring levels of greenhouse gases and studying vegetation growth. Image sensors designed for Earth Observation (EO) have large number pixel formats and fast operating rates which present great challenges for data management in the satellite itself and for data downlink given the vast amount of data generated. The RAPID project is designed to help manage the high data volumes generated.

Often only a small part of this data is needed to service the mission goals such as capturing, processing and transferring via downlink. Handling the entire image scene may be wasteful, instead determining the data of interest within the image capture system and only processing that information before transmitting to a ground station on Earth is an obvious advantage.


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