Apple Patent Enables Identification Without Facial Recognition

The United States Patent and Trademark Office has approved a new Apple patent that introduces a groundbreaking system capable of identifying individuals even when their faces are not visible to a camera. Approved on November 26, this patent outlines technology designed to recognize body characteristics for identification when facial recognition alone is insufficient.

Apple’s patented system initially uses facial recognition as the primary identification method. However, it goes further by analyzing additional physical attributes, such as walking gait and clothing. This data, referred to as a “motionprint,” is stored for future use. In scenarios where facial images are unclear, such as low-light conditions, the system can identify a person by comparing their unique body movements and characteristics to previously recorded data.

The patent application describes the system as “identity recognition utilizing face-associated body characteristics.” This innovation addresses the limitations of facial recognition in situations where video feeds lack clarity. The technology compares body movement data to stored records, notifying users if the identity in subsequent footage matches the previously identified person.

Although initially described as suitable for home environments, the patent indicates broader applications. Apple suggests the system could be implemented in office buildings, parking lots, public parks, and warehouses, among other locations.

Notably, the application emphasizes that the technology may allow for identification without a high-quality or clear image of a person’s face, broadening its potential use cases. Apple has not commented on whether this technology will be deployed commercially.

It remains unclear whether the patent will be fully developed and implemented, as not all patents lead to marketable products. This innovation, reported first by 9 to 5 Mac, showcases Apple’s continued exploration of advanced identification technologies.