Detecting satellite anomalies with CNES

10 April 2020

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 April 10, 2020
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Category: AI, Machine Learning, Upalgo
Taranis

CNES’s Taranis Satellite – Studies of transient light events

CNES is a public establishment which designs, develops and operates space systems.

2020 is going strong at Ezako. We are delighted to have CNES among our references. CNES has trusted Ezako for its Machine Learning expertise.

Ezako will work on the detection of anomalies in satellite telemetry with Machine Learning modelling through the SAAS application Upalgo. This detection will be in addition to conventional surveillance methods. Thanks to Upalgo, CNES benefits from efficient anomaly detection, with a very limited number of false alarms.

 

 

 

 

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