Autonomous, real-time, wide-area, optical & hyperspectral search sensor optimized for Integrator UAS
The world’s first real-time, area scan, hyperspectral sensor that provides complete domain awareness in
all conditions and environments, both day and night. Artificial Intelligence operating on the edge
autonomously detects, recognizes, locates and tracks all objects, providing on-demand situational awareness.
Wide-Area Detect & Classify
Operates in land, riverine, estuarine, littoral, coastal and open-ocean environments.
AI Operating on the Edge
Real-time detection, recognition and tracking of all objects using onboard AI orchestration and data fusion engine, even through obscurants and whitecaps.
Autonomous Tracking
Completely autonomous spectral
signature target identification – no need to process target data for false positives
Specifications
Size/Weight/Power
- Size: 189 x 189 x 286 mm
- Weight: 4.3 kg
- Power (nominal): 110 W
- Operating Temperature:
- -20C to 45C
Missions
- Wide-area ISR/search
- Maritime domain awareness
- Counter narcotics
- Border security
- ISR in contested environments
- Fisheries monitoring
- Search and rescue
Versatile Feature Set
• Completely autonomous spectral signature target identification—no need to process target data for false positives
• Operates in land, riverine, estuarine, littoral, coastal and open-ocean environments
• Exceptional performance in a variety of degraded visual conditions including haze, smoke, dust, snow/sand storms, high humidity, and day-to-night
• Domain agnostic—no configuration change required when switching environments
Target Detection
• Significantly greater search area coverage and range to target compared with alternatives.
• Scan-to-scan target tracking and re-identification
Interoperable C2
• Fully integrated into INEXA Control software. Also available with Arkeus user interface.
Developed and produced by Arkeus.
Integrated and tested in collaboration between Insitu and Arkeus.
Related Systems
The Warden works in conjunction with these Insitu systems.
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