US 12,217,128 B2
Multiple field of view (FOV) vision system
Edward Barkan, Miller Place, NY (US); Mark Drzymala, Saint James, NY (US); and Darran Michael Handshaw, Sound Beach, NY (US)
Assigned to Zebra Technologies Corporation, Lincolnshire, IL (US)
Filed by ZEBRA TECHNOLOGIES CORPORATION, Lincolnshire, IL (US)
Filed on Dec. 26, 2022, as Appl. No. 18/088,771.
Application 18/088,771 is a continuation of application No. 16/827,000, filed on Mar. 23, 2020, granted, now 11,538,262.
Prior Publication US 2024/0211712 A1, Jun. 27, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06K 7/10 (2006.01); G06K 7/14 (2006.01); G06T 7/70 (2017.01); G06V 10/44 (2022.01); G06V 10/74 (2022.01)
CPC G06K 7/1447 (2013.01) [G06T 7/70 (2017.01); G06V 10/44 (2022.01); G06V 10/761 (2022.01); G06T 2207/10024 (2013.01); G06T 2207/20081 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A barcode reader having a target object imaging region, the barcode reader comprising:
at least one imager having a first field of view (FOV) and a second FOV, wherein the at least one imager is configured to capture (i) a first image of a target object placed in a target imaging region within the first FOV and (ii) a second image of the target object within the second FOV;
one or more processors configured to receive the first image and the second image captured by the at least one imager; and
a memory communicatively coupled to the one or more processors, the memory storing instructions that, when executed by the one or more processors, cause the one or more processors to:
analyze the first image and the second image to identify at least a portion of a barcode associated with the target object in either the first image or the second image;
analyze the first image and the second image to identify one or more features associated with the target object in each of the first image and the second image;
determine a first target object identification for the target object based on the first image and a second target object identification for the target object based on the second image, wherein each of the first target object identification and the second target object identification is based on at least one of (i) the set of barcode data extracted from the at least the portion of the barcode, or (ii) the one or more features; and
responsive to determining that the first target object identification differs from the second target object identification, at least one of (i) generate a first alert for display to a user, (ii) generate a second alert for transmission to a remote monitoring system, or (iii) transmit a notification including the first target object identification and the second target object identification to a point-of-sale station.