Real-time Analytics
Swoop Aero needed a highly scalable and reliable cloud platform to coordinate autonomous aircraft in difficult connectivity environments while using analytics and computer vision to keep remote drone operations safe.
Reported impact
Swoop Aero supports operations in 14 countries, uses computer vision to enable remote piloting beyond visual line of sight, and is designed so a single pilot can remotely control up to 30 aircraft while improving reliability and safety.
Swoop Aero built its drone-logistics platform on AWS so a small operations team can safely manage autonomous aircraft deployed across many countries. AWS IoT Core, AWS IoT Device Shadow, Amazon API Gateway, and Amazon Cognito handle secure device connectivity, state management, and remote operational access. Flight and vision data lands in Amazon S3, while AWS Lambda supports server-side event handling and Amazon SageMaker, SageMaker Ground Truth, and SageMaker Neo power machine-learning and computer-vision capabilities used for remote piloting, situational awareness, and safe landings. This architecture lets Swoop Aero monitor aircraft performance continuously, operate in regions with unreliable networks, and scale the service toward its goal of running many aircraft simultaneously around the world.
Aircraft telemetry and imagery are ingested through AWS IoT services, stored in Amazon S3, processed by Lambda and SageMaker-based computer-vision workflows, and then surfaced back to operators for remote piloting, situational awareness, and safe landing decisions.
Our computer vision solution on AWS powers remote piloting beyond visual line of sight and provides insights to ensure a safe aircraft landing every time, even in areas with poor-to-zero network coverage.
Scales to help a single pilot remotely pilot up to 30 aircraft
The drones are fully autonomous, which means we must always maintain situational awareness.
We also need to use data analytics to monitor systems for constant visibility of each aircraft’s performance status.
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Scoring methodology
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Traceability
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Employees: 56
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