US 12,434,875 B2 · System and method for automatically orienting product containers

Abstract

A computer-implemented method for automatically orienting product containers includes acquiring a reference product label image associated with a batch of product containers on a production line and using a trained deep learning model to compute a perceptual center of the reference product label image based on perceptually relevant label features of the reference product label image. A production line camera acquires an image slice of the respective product label of individual product containers in the batch of product containers. A rotation angle for rotating an individual product container is computed based on the acquired image slice of the respective product label and a label center determined based on the computed perceptual center of the reference product label image. The computed rotation angle is communicated to a controller to effect a rotation of the individual product container.

Claims15

Dependent claims

A computer-implemented method for automatically orienting product containers on a production line, wherein each product container has a product label disposed around an outer surface of the product container, the method comprising:

acquiring a reference product label image associated with a batch of product containers on the production line,
using a trained deep learning model to compute a perceptual center of the reference product label image based on perceptually relevant label features of the reference product label image,
acquiring, via a production line camera, an image slice of the respective product label of individual product containers in the batch of product containers,
computing a rotation angle for an individual product container based on the acquired image slice of the respective product label and a label center determined based on the computed perceptual center of the reference product label image, and
communicating the computed rotation angle to a controller to effect a rotation of the individual product container from an initial orientation to a final orientation based on the computed rotation angle.

2 more elements

A system for automatically orienting product containers on a production line, wherein each product container has a product label disposed around an outer surface of the product container, the system comprising:

a production line camera configured to capture image slices of respective product labels of individual product containers in a batch of product containers on the production line,
a computing system comprising:
one or more processors, and
a memory storing algorithmic modules executable by the one or more processors, the algorithmic modules comprising:
a visual label perception engine configured to use a trained deep learning model to compute a perceptual center of the reference product label image based on perceptually relevant label features of the reference product label image, and
a rotation angle computation engine configured to compute a rotation angle for an individual product container based on the image slice of the respective product label acquired via the production line camera and a label center determined based on the computed perceptual center of the reference product label image, and
a controller to effect a rotation of the individual product container from an initial orientation to a final orientation based on the computed rotation angle.

4 more elements

Dependencies are inferred from the claim text.

System and method for automatically orienting product containers

Life of this patent

System and method for automatically orienting product containers

Life of this patent

Abstract

Claims15