The US Air Force, says the company, plans to use the company's detailed three-dimensional (3D) image recognition technology, based on Explainable-AI, for unmanned aerial vehicles (UAVs) for aerial image/object recognition. The company claims to be the first to demonstrate Explainable-AI, where various attributes and details of 3D objects can be recognized from any view or angle.
"With our superior approach," says Dr. Saied Tadayon, CTO of ZAC, "complex 3D objects can be recognized from any direction, using only a small number of training samples."
"You cannot do this with the other techniques, such as Deep Convolutional Neural Networks, even with an extremely large number of training samples," says Dr. Bijan Tadayon, CEO of ZAC. "That's basically hitting the limits of the CNNs."
For complex tasks, such as drone vision, says the company, its technology, which is fairly similar to the ways humans learn and recognize, is needed to handle detailed 3D image recognition.
The 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.
The company's intellectual property portfolio comprises over 450 inventions, including 11 issued US patents.