Black Swift S0 VTOL UAS | Autonomous Atmospheric Profiling
Effective
Has the means to capture a profile of upper air parameters
Rugged and reliable
Designed to withstand extreme flight conditions
Efficient
Low drag design to enable climbs up to 15,000ft (AGL) on a single battery
Black Swift S0 VTOL UAS | Autonomous Atmospheric Profiling
Compact, Intuitive, Reliable. Black Swift S0 VTOL UAS is a tactical weather drone capable of autonomous atmospheric profiling up to 15,000 ft. AGL.
Wingspan :
54.6 in
Wing Area :
292 in2
Aspect Ratio :
11.1
Dihedral :
1.60
Weight :
3.5 lbs
Wing Loading :
27.5 oz/ft2
Max Endurance :
90 minutes
Description
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System Uses Unsupervised Machine Learning for Anomaly Detection Boulder, CO - (March 2, 2021) - According to a study by the Center for Strategic and International Studies (CSIS), the U.S. Air Force "Remotely Piloted Aircraft" (RPA) or "Unmanned Aircraft Systems" (UAS), represent a low cost, high mission capable asset when compared to manned airplanes.
Black Swift Technologies | Company Introduction
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Introduction video for Black Swift Technologies, a company based in Boulder, CO recognized for delivering reliable, robust, and highly accurate unmanned aircraft systems (UAS), produced by In Form Creations.
Black Swift Technologies Deploys AI to Help Air Force Maintain Drone Fleet - DRONELIFE
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Colorado-based Black Swift Technologies is helping the U.S. Air Force improve drone maintenance planning, thanks to a recent grant. The company will develop a machine-learning software solution for predicting and improving maintenance schedules in an effort to reduce drone systems failures. "System failures can be costly-in time, money and equipment," Black Swift CEO Jack Elston said.
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The SwiftCore FMS enables advanced control systems. These control systems provide industry leading sensor-based control of the UAS that minimizes operator workload while improving the quality of the observed data by autonomously modifying the flight path based on sensor inputs. Proven in the field to provide a cost-effective, powerful, and easy-to-operate system, the SwiftCore FMS is engineered to meet the demands of nomadic scientific field operations in harsh environments.
Drones / UAS / Flight Management Systems / Sensors / AI / Machine Learning / Artificial Intelligence / Atmospheric Science / Soil Moisture Management / Europe / Mission
Drones / UAS / Flight Management Systems / Sensors / AI / Machine Learning / Artificial Intelligence / Atmospheric Science / Soil Moisture Management / Europe / Mission
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Drones / UAS / Flight Management Systems / Sensors / AI / Machine Learning / Artificial Intelligence / Atmospheric Science / Soil Moisture Management / Europe / Mission
Drones / UAS / Flight Management Systems / Sensors / AI / Machine Learning / Artificial Intelligence / Atmospheric Science / Soil Moisture Management / Europe / Mission
Description
The Black Swift S0-VTOL is a small, ruggedized UAS engineered for high altitude (up to 15,000 ft. AGL) atmospheric profiling. Capable of completely autonomous flights, its unique design enables rapid ascents and descents allowing the S0 to quickly and accurately capture 3-dimensional wind profiles at various levels.
The S0 is a cost-effective aerial solution perfect for determining the thermodynamics of the atmosphere. Its modular design allows for rapid integration of new sensors and capabilities. The flexibility enables the S0's functionality to expand to provide air quality monitoring and trace gas detection simply by switching out the sensor payloads.
Drones / UAS / Flight Management Systems / Sensors / AI / Machine Learning / Artificial Intelligence / Atmospheric Science / Soil Moisture Management / Europe / Mission
The S0 is a cost-effective aerial solution perfect for determining the thermodynamics of the atmosphere. Its modular design allows for rapid integration of new sensors and capabilities. The flexibility enables the S0's functionality to expand to provide air quality monitoring and trace gas detection simply by switching out the sensor payloads.
Drones / UAS / Flight Management Systems / Sensors / AI / Machine Learning / Artificial Intelligence / Atmospheric Science / Soil Moisture Management / Europe / Mission
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