Zebra Technologies Corporation
METHOD FOR AUTOMATING SUPERVISORY SIGNAL DURING TRAINING OF A NEURAL NETWORK USING BARCODE SCAN

Abstract:

Techniques are provided for training a neural network, where the techniques include receiving image scan data of an object, such as a product or package presented at a scanning station, where the image scan data includes an image that contains at least one indicia corresponding to the object and physical features of the object. A neural networks examines the physical features and determines weighting indicating a correlation strength between the physical feature and an identification data of the object. Thereby training a neural network to identify objects from their scanned physical features in place or in accompaniment to scanned indicia data.