The Black Swift S2™ is a UAS purpose-built for flying scientific payloads in demanding atmospheric environments (high-altitude, corrosive particulates, and strong turbulence). The Black Swift S2 offers the additional benefits of having a larger payload capacity than other vehicles while also having longer endurance, higher ceiling, and greater range than vector wing airframes. This rugged airframe is capable of autonomous launch, flight, and landing in difficult mountainous regions.
Ingress Protection (IP) IP42
Payload Weight vs Launch 2.3 kg (5 lb)
Flight Ceiling 6000 m (20,000 ft)
Max. Winds Endured 15 m/s (30 kts)
Flight Speed 12 m/s (24 kts) stall, 18 m/s (35 kts) cruise
Flight Time 110 min max, 90 min nominal
Range 110 km (60 nm) max, 92 km (50 nm) nominal
Weight 9.5 kg (20.8 lbs) max gross takeoff weight
Wingspan 3.0 m (10.0 ft)
Nose Cone Dimensions 20.3 cm (8 in) diameter
63.2 cm (24.9 in ) length
Power available for payload 50 W total
Payload weight 2.3 kg (5 lbs)
Geotagging Position Accuracy Typically < 4m in all directions
Telemetry Data Rate Serial Stream, 9500 bps
Licensed sUAS Pilot NOAA/ATDD
Indicative of its science-based missions and flight heritage, the Black Swift S2 features the field-swappable payload system designed to:
CEO, Black Swift Technologies
Leveraging BST’s proprietary Flight Planning User Interface, scientists can program the Black Swift S2 in minutes to calculate the area under review and then begin collecting data for immediate analysis and decision making. With its intuitive tab-driven interface, flight planning is simple and easy to accomplish. Mission monitoring and mapping is all done from a handheld Android™ Tablet loaded with BST’s SwiftTab™ software. Gesture-based controls enable users to confidently deploy their Black Swift S2 with minimal training while being able to collect data over geography that is topically diverse with confidence.
The SwiftCore FMS enables advanced control systems. These “smart” 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.