Image Sensor Enables Lightweight Tracking Systems

Logos Technologies’ lightweight Redkite-I wide-area motion imagery (WAMI) system weighs less than 25 pounds (12 kg). Despite its small size, it can image 12 square kilometers at once, all in real time—detecting and tracking all significant movers within its field of view. The WAMI system also records and archives up to eight hours of georeferenced data on board the aircraft for real-time forensic analysis.

 

The system images in medium resolution. Should a user need to positively identify a mover, Redkite-I can cue a narrow-field, high-resolution full motion video camera for a closer look. Users can view up to 10 different real-time and recorded imagery feeds pulled from within the system’s expansive field of view and watch those “chip-outs” on their tablets and other mobile devices.

Fierce AI Week

Register today for Fierce AI Week - a free virtual event | August 10-12

Advances in AI and Machine Learning are adding an unprecedented level of intelligence to everything through capabilities such as speech processing and image & facial recognition. An essential event for design engineers and AI professionals, Engineering AI sessions during Fierce AI Week explore some of the most innovative real-world applications today, the technological advances that are accelerating adoption of AI and Machine Learning, and what the future holds for this game-changing technology.

 

In addition to the version in the payload bay of the Insitu Integrator, Redkite can also be housed in a platform-independent pod that can be mounted to planes, helicopters, and other unmanned aircraft systems. For greater insights and lofty enlightenment, you can peruse a plethora of datasheets and data briefs.

Read more on

Suggested Articles

Hydrogen refueling stations are limited in the U.S., restricting interest in use of fuel cell electric cars


Silicon Labs is providing the BT module needed for detecting proximity with another Maggy device

Test automation won't fix everything, but can help, according to an automation engineer. Here are five problems to avoi to improve chances of success