Automated & Connected

Image courtesy: U.S. Air Force

U.S. Air Force invests in Explainable-AI for unmanned aircraft

Software star-up, Z Advanced Computing, Inc. (ZAC), has received funding from the U.S. Air Force to incorporate the company’s 3D image recognition technology into unmanned aerial vehicles (UAVs) and drones for aerial image and object recognition. ZAC’s in-house image recognition software is based on Explainable-AI (XAI), where computer-generated image results can be understood by human experts.

ZAC – based in Potomac, Maryland – is the first to demonstrate XAI, where various attributes and details of 3D objects can be recognized from any view or angle. 

“With our superior approach, complex 3D objects can be recognized from any direction, using only a small number of training samples,” says Dr. Saied Tadayon, CTO of ZAC.

“You cannot do this with the other techniques, such as deep Convolutional Neural Networks (CNNs), even with an extremely large number of training samples. That's basically hitting the limits of the CNNs,” adds Dr. Bijan Tadayon, CEO of ZAC. 

 

 

This technology enables image search in a wide variety of applications, such as e-commerce, autonomous vehicles, medical imaging, satellite imaging, smart cities, biometrics, face recognition, video, and security.

 

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William Kucinski is content editor at SAE International, Aerospace Products Group in Warrendale, Pa. Previously, he worked as a writer at the NASA Safety Center in Cleveland, Ohio and was responsible for writing the agency’s System Failure Case Studies. His interests include literally anything that has to do with space, past and present military aircraft, and propulsion technology.

Contact him regarding any article or collaboration ideas by e-mail at william.kucinski@sae.org.