Sys-tech Solutions, Inc.

Delaware Capital Formation, Inc.

Atish P Kamble

Matthias Voigt

Bodhayan Dev

Michael L Soborski

Prem Swaroop

Richard Buteau

Michael Soborski

Vijay Karthick Baskar

Sreedhar Patnala

Methods, systems, and apparatus, including medium-encoded computer program products, for glare mitigation techniques include: obtaining images containing a representation of a mark, the images comprising multiple poses of the mark and generating a single image from the images that contain a representation of the mark with reduced glare when compared to the images comprising multiple poses of the mark. The single image is provided for processing of the representation of the mark to identify information associated with the mark.

Glare mitigation techniques in symbologies

Methods, systems, and apparatus, including medium-encoded computer program products, for generating synthetic images, include: obtaining a captured image of a symbol that encodes data; producing a synthetic image from the captured image using a trained machine learning model, wherein the trained machine learning model has been trained using first images and second images of examples of symbols, wherein the second images have a second image quality that is different than a first image quality of first images, and wherein parameters of the machine learning model have been adjusted responsive to image features to tradeoff content loss versus style loss using measurements of information content correlation between third images produced during training and each of the first images and the second images, the measurements being from a comparison metric; and providing the synthetic image for use by a program configured to identify information in images of symbols.

Synthetic image generation using artificial intelligence

Growing community of inventors

Acton, MA, United States of America

Atish P Kamble