TK SERIES
SMART SENSORS
NADIR oriented sensor payloads optimized for high-resolution, wide-area mapping and ISR
TK-Series smart sensors are intelligence workhorses packed with cutting-edge remote sensing and edge computing technology. Powered by sophisticated AI and machine learning routines, TK systems are developed for a wide range of missions and applications. TK systems are optimized for high-resolution imagery that can be viewed in real-time, processed and delivered quickly, or archived for post processing.
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Automated step-stare imaging provides high-resolution multispectral data
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Real-time onboard processing
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Powerful suite of AI modules available
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Custom integration support
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Edge processing and computing
Powerful onboard processing delivers critical data, FAST
Overwatch Imaging's powerful processing architecture and AI functionality analyze full resolution imagery on the edge, in real-time. This allows for immediate interpretation and interaction with image data, checks of coverage and quality while the aircraft is still in the area of interest, and data delivery during flights, or quickly afterwards.
Our systems only transmit the data required or desired by real-time operators, allowing timely intelligence even in areas with poor or no communications infrastructure. This means reporting points of interest in map-format KML orshapefile, cross-cueing other sensors for additional inspection, providing image chips or full-resolution raw images for in-flight download, and generating synthetic false-colored images in real time to highlight interesting content.
Automation and AI
All TK series payloads are equipped with automated imaging software that enables sensor operation, automated step-stare imaging and a wide range of processing capabilities. Additional AI modules are also available, to help achieve more specific mission objectives.
AI feature examples
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Automated fire mapping,
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Perimeter and hotspot highlighting
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Oil spill mapping
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Automated object detection
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Flight Planner
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Scene Change Detection
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Heavy Machine Finder
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NDVI mapping