Zebra Technologies Corporation
OBJECT OF INTEREST SELECTION FOR NEURAL NETWORK SYSTEMS AT POINT OF SALE

Abstract:

A multi-plane imager device, such as a bi-optic barcode scanner, includes a color imager for generating color image data on a scanned object and a decode image for decoding an indicia on the object. Upon a decode event, the multi-plane imager, identifies one or more images corresponding to that decode event and sends those images for storage in an training image set for training a neural network. In some examples, imaging characteristics are used to identify only a portion of the images, so that only those portions are stored in the training image set. Example imaging characteristics include the Field of View(s) of the imager.