Zebra Technologies Corporation

Przemyslaw Kowalewski

Mark E Drzymala

Darran Michael Handshaw

Eugene B Joseph

Robert W DiGiovanna

Miguel Orlando Rodriguez Ortiz

Mark D Anderson

Robert James Pang

Christopher J Fjellstad

Sajan Wilfred

A method of activating an illumination assembly within a symbology reader is provided, the illumination assembly having a first illumination source and a second illumination source, the symbology reader having an imaging sensor configured to operate at a predetermined framerate where each frame includes an exposure period over which the imaging sensor is active to capture image data and a non-exposure period over which the imaging sensor is not active to capture image data, the method comprising: during a first frame, activating the first illumination source during at least a portion of the respective exposure period and activating the second illumination source over at least a portion of the respective non-exposure period; and during a second frame, activating the second illumination source during at least a portion of the respective exposure period and activating the first illumination source over at least a portion of the respective non-exposure period.

Flicker mitigation for multiple interspersed illumination systems

Techniques are provided for detecting an improper barcode using a neural network trained to identify an object from physical features appearing in images of object, and without resorting to using a barcode or other indicia to identify the object. The neural network is self-training, updating itself with selected images obtained at a Point-of-Sale. That is, the neural network is capable of training itself while performing improper barcode detection operations, such as spoofing detection.

Method for improper product barcode detection

Growing community of inventors

Rocky Point, NY, United States of America

Przemyslaw Kowalewski