Myriad is an Internet-of-Things (IoT) system that triggers autonomous UAV surveys based on changes detected over Copernicus imagery. Monitoring large industrial areas using traditional on-site methods is usually costly. Important changes in the landscape can go unnoticed, which may lead to a loss of money, environmental and security issues, or a loss of a commercial opportunity. Myriad aims to solve this problem using Artificial Intelligence (AI) to detect changes over Copernicus datasets from Sentinels -1, -2, and -3, sending those changes to the UAV that will then automatically fly over it. The acquired images will be further processed to confirm or discard the detected change. The whole service will be served through an online data viewer, where the user will be able to explore those changes in real time. The market for drones as a service is predicted to grow to approximately USD 18 billion in 2022.


Myriad explained, © Svarmi ehf.

 

Customer benefits

The solution will automatically monitor large industrial areas, providing the coverage of Copernicus and the high resolution of UAVs. This will reduce the timespan between detection and action, improving the efficiency, safety and increase sustainability over industrial areas.

Expertise

“In the event of sudden environmental disasters, providing fast, reliable information to rescue teams is key. This is even more important in areas accommodating major industrial sites, such as nuclear or chemical facilities. The MYRIAD drone system working on Copernicus Sentinel imagery and triggering rescue activities automatically upon change detection will reduce the time elapsed from the occurrence of the event until the initiation of counter measures by an important margin. MYRIAD combines perfectly the potential of Copernicus Sentinel-1 and -2 observations with the rapid close-up observation capacity of drones.” – Dr Thomas Beer, Copenicus Policy Coordinator European Space Agency (ESA)

 

Tryggvi Stéfansson, Victor Francisco Pajuelo Madrigal, Hallgrímur Davíð Egilsson

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