Skydio 3D ScanGallery
Skydio is the leading U.S. drone manufacturer and world leader in autonomous flight. Skydio leverages breakthrough AI to create the world’s most intelligent flying machines for use by consumer, enterprise, and government customers.
- Model 1Corsair Jet
The metallic structure of a jet fuselage is difficult for a manual drone to navigate near, requiring long standoff distances and expensive hardware to compensate for conservative flight patterns. 3D Scan can capture incredible up-close detail with fully automated workflows.
- Model 2Crane Mast
Crane masts must be regularly inspected and maintained for worker safety, but manual drones cannot get close enough to capture the level of detail shown here without an expensive zoom lens. 3D Scan works without GPS and near metallic structures where manual drone magnetometers would fail.
- Model 3Sepulveda Dam
This scan is a glimpse into the future of asset inspections. With its automated workflows and obstacle avoidance, 3D scan will revolutionize the way infrastructure assets like this dam are inspected. With sub-millimeter precision, inspectors are able to detect even the smallest cracks in concrete (embedded model is down-sampled for useability).
- Model 4Mock Helicopter Crash
The future of aircraft and incident inspection is here - Skydio’s 3D Scan can generate incredibly detailed 3D models of structures with greater reliability, precision, and safety than manual methods.
- Model 5Lunar Lander
The Lunar Module, sometimes known as the Lunar Lander, was designed to transport astronauts between a spacecraft in lunar orbit and the surface of the moon. Between 1969 and 1972, six of these lunar modules landed humans on the Moon, and they remain the only crewed aircraft to ever land on the Moon’s surface.
- Model 6Car Crash
Accident scene reconstructionists face the challenge of documenting the scene quickly and accurately to get high-quality data with minimal disruption. However, photos taken manually often do not tell the full story, and the metallic structure and unpredictable nature of an accident scene can be difficult for manual drones to navigate near.