The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 20, 2026
Filed:
Sep. 13, 2024
Apple Inc., Cupertino, CA (US);
Marc Geese, Illertissen, DE;
Thomas G. Salter, San Francisco, CA (US);
Ryan J. Dunn, Santa Cruz, CA (US);
Peter Burgner, Venice, CA (US);
Lionel E. Edwin, San Jose, CA (US);
Apple Inc., Cupertino, CA (US);
Abstract
Electronic devices, methods, and program storage devices for achieving improved optical character recognition (OCR) operations are disclosed. Performing OCR operations on captured images, e.g., images captured by cameras that are affixed to a user's body (e.g., from mixed reality devices, such as smart HMDs) requires a low-power, robust camera design. Obtaining high spatial resolution in such captured images faces many challenges. However, images with higher spatial resolution can be created by combining information extracted from multiple images captured by such devices, leveraging information obtained from positional sensors of such devices, and performing SR post-processing operations. Such higher spatial resolution images may then be used to enable high-acuity OCR capabilities. The solutions disclosed herein also compensate for the missing ability of such devices due to the lack of a vestibulo-ocular reflex (i.e., the human visual system's ability to use compensating eye movement to fixate and read text clearly, despite head movement).
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile