Application of Z-webs and Z-factors to analytics, search engine, learning, recognition, natural language, and other utilities

This describes a computer method for identifying faces in still pictures or video frames. It processes an image, determines if it contains a face or human, and then can further analyze the surrounding situation or context of that image. The core idea is to recognize faces and understand their environment.

Why it matters: Filed before deep learning revolutionized computer vision. The ability to accurately recognize faces and determine complex contexts from images, as described in the claims, has dramatically improved with advancements in neural networks and large vision models since 2013.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComputer vision algorithms, machine learning models

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