FASTER THROUGH AUTOMATION
Search, Scan, and Detect
Airborne Imaging Solutions
Real-time Edge Processing and Data Delivery
Wide-area, Multispectral Imaging Systems
FOCUS less on the search and more ON THE BEST RESPONSE
Problem: Human-intensive imaging systems require highly trained and alert observers who are tasked with locating small objects in vast landscapes. This manual method of airborne searching can be inefficient, labor-intensive, costly and time consuming.
Solution: Overwatch Imaging develops software-forward airborne imaging solutions that leverage cutting-edge technologies in computer vison, GPU processing, Artificial Intelligence, and sensor fusion to automate the role of searching for small objects of interest in time-critical and challenged environments.
Airborne imaging solutions designed to scan wide areas,
find small objects of interest and deliver actionable intelligence quickly and effectively for important missions around the world
Overwatch AI software automatically manages airborne sensors through smart pointing commands, automated detection of objects of interest, and computer-generated reporting of collected intelligence outputs for communications-efficient reporting of collected intelligence outputs for communications-efficient reporting.
A selection of mission-specific, multi-camera, multispectral payloads designed for automated operation by edge computers rather than human sensor operators.
- PT SERIES payloads are outward facing EO/IR systems.
- TK SERIES payloads are NADIR oriented multi-spectral systems.
Real-time data delivered when you need it most
Mapping cameras with onboard storage but no real-time operating environment force users to wait until after flights have concluded to work with the data.
Overwatch Imaging systems analyze full-resolution imagery in real-time, which enables immediate checks of coverage and quality while the aircraft is still in the area of interest and data delivery during flights, or much faster 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 (e.g. large wildlands where wildfires burn, the open ocean or stretches of railway between cities).
This means reporting points of interest in map-format KML or shape files, 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.