Swoop Aero: Computer vision for remote piloting and safe drone landings using SageMaker & IoT
Swoop Aero is an integrated drone logistics service operating in 14 countries, including Australia, the UK, Malawi, Mozambique, and the Democratic Republic of Congo. The company needed scalable, reliable technology to support autonomous aircraft operations in remote areas with poor or no connectivity while maintaining situational awareness and safe landing reliability.
- Organization
- Swoop Aero
- Industry
- Logistics
- Location
- Australia
- Published
- May 2026
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Swoop Aero
- Provider
- AWS
- Maturity
- Pilot
- Linked source
- AWS Customer Story
A single remote pilot can control 30 or more aircraft from the Remote Operations Center in Melbourne
Primary read
Use case focus
Showing 3 of 5
- 1Computer Vision
- 2Edge AI
- 3IoT
- Operate fully autonomous drone fleets in remote environments with challenging connectivity.
- Maintain constant visibility into aircraft status and identify defects before flight.
- Enable safe takeoff and landing without requiring manual review of every flight.
- Swoop Aero built its platform on AWS using AWS IoT Core to connect aircraft as IoT devices and support remote control beyond visual line of sight.
- Amazon API Gateway websockets provide two-way communication between aircraft and remote pilots.
- The company uses Amazon SageMaker Ground Truth to label landing images for computer vision model training, and Amazon SageMaker Neo to optimize models for onboard execution in low-connectivity environments.
- AWS IoT Device Shadow stores a digital twin state for each drone and supports automated performance checks; AWS Lambda processes flight logs to detect issues such as vibration and flag defects against the aircraft.
- Flight and sensor data are stored in Amazon S3 for analysis and reporting.
- A single remote pilot can control 30 or more aircraft from the Remote Operations Center in Melbourne.
- The platform supports operations across four continents beyond visual line of sight.
- Swoop Aero has safely delivered over one million items and conducted more than 20,000 flights.
- The system helps block aircraft from flying when defects are detected, improving reliability and safety.
Architecture
AWS IoT Core connects aircraft as IoT devices over cellular and satellite links. Amazon API Gateway websockets enable bidirectional communication with remote pilots. Landing images are labeled in Amazon SageMaker Ground Truth and used to train computer vision models, which are optimized with Amazon SageMaker Neo for onboard execution. AWS IoT Device Shadow maintains a digital twin for each drone, while AWS Lambda analyzes flight logs and flags defects. Amazon S3 stores flight, sensor, and landing image data.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
AI-generated summary. Verify important details with the linked sources before relying on this case.
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