Z Advanced Computing, Inc. (ZAC) of Potomac, MD announced on August 27 that it is funded by the US Air Force, to use ZAC’s detailed 3D image recognition technology, based on Explainable-AI, for drones (unmanned aerial vehicle or UAV) for aerial image/object recognition. ZAC is the first to demonstrate Explainable-AI, where various attributes and details of 3D (three dimensional) 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,” said Dr. Saied Tadayon, CTO of ZAC. “For complex tasks, such as drone vision, you need ZAC’s superior technology to handle detailed 3D image recognition.”
“You cannot do this with the other techniques, such as Deep Convolutional Neural Networks, even with an extremely large number of training samples. That’s basically hitting the limits of the CNNs,” continued Dr. Bijan Tadayon, CEO of ZAC. “This is fairly similar to the ways humans learn and recognize.”
ZAC’s Explainable-AI technology enables image search in a wide variety of applications, such as e-commerce, ad network, autonomous vehicles, medical imaging, satellite imaging, smart homes/appliances, smart cities, biometrics, face recognition, video, and security. ZAC’s intellectual property portfolio comprises over 450 inventions, including 11 issued US patents.
Source: ZAC
By 
