Barcode readers with 3D camera(s)
AssigneeZebra Technologies Corporation
InventorsYuri Astvatsaturov, Edward Barkan, Mark Drzymala, Darran Michael Handshaw
Life of this patent
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Abstract
At least some embodiments described herein are directed to a machine vision method, which involves capturing both a two-dimensional (2D) image of an object to identify a barcode and determine 3D features, and a three-dimensional (3D) image of the environment. The 3D image data is examined for the presence of the 3D object features. If a feature is missing, a digital fault detection signal is provided. If a feature is present, at least one parameter of the machine vision system is adjusted. The method also includes decoding the barcode and determining the object's orientation based on the barcode location in the 2D image.
Claims7
A machine vision method comprising:
- capturing, using a two-dimensional (2D) imaging apparatus of a machine vision system, a 2D image of an object, identifying a barcode of the object in the 2D image, and determining one or more three-dimensional (3D) object features of the object from the barcode in the 2D image;
- capturing, using a three-dimensional (3D) imaging apparatus of the machine vision system, a 3D image of an environment and storing 3D image data corresponding to the 3D image;
- examining the 3D image data for a presence of the one or more 3D object features;
- in response to determining that at least one of the one or more 3D object features is absent from the 3D image data, providing a digital fault detection signal to a user of the machine vision system;
- and
- in response to determining that at least one of the one or more 3D object features is present from the 3D image data changing at least one parameter associated with the machine vision system.
Dependencies are inferred from the claim text.