Symbol Technologies, LLC

Bo Fu

Yan Zhang

Kevin J O'Connell

Richard Jeffrey Rzeszutek

Jay J Williams

Ye Gu

Robert E Beach

Jordan K Varley

Yan-Ming Cheng

Raymond Phan

Iaacov Coby Segall

Kevin J O'connell

Michael A Ramputi

A method of object status detection for objects supported by a shelf, from shelf image data, includes: obtaining a plurality of images of a shelf, each image including an indication of a gap on the shelf between the objects; registering the images to a common frame of reference; identifying a subset of the gaps having overlapping locations in the common frame of reference; generating a consolidated gap indication from the subset; obtaining reference data including (i) identifiers for the objects and (ii) prescribed locations for the objects within the common frame of reference; based on a comparison of the consolidated gap indication with the reference data, selecting a target object identifier from the reference data; and generating and presenting a status notification for the target product identifier.

Method and apparatus for object status detection

A method of detecting a back of a shelf for supporting objects includes: obtaining an image depicting a shelf having a shelf edge and a support surface extending from the shelf edge to a shelf back; decomposing the image into a plurality of patches; for each patch: generating a feature descriptor; based on the feature descriptor, assigning one of a shelf back classification and a non-shelf back classification to the patch; generating a mask corresponding to the image, the mask containing an indication of the classification assigned to each of the patches; and presenting the mask.

Method and apparatus for shelf feature and object placement detection from shelf images

A method of extracting price text from an image set includes: obtaining input data comprising (i) a plurality of images depicting shelves supporting products, and (ii) for each of the images, a set of text regions and corresponding price text strings; registering the images to a common frame of reference; identifying a subset of the text regions having overlapping locations in the common frame of reference; selecting one of the text regions from the subset; and presenting the price text string corresponding to the one of the text regions for further processing.

Method and apparatus for extracting and processing price text from an image set

Methods, systems, and apparatus for segmenting and dimensioning objects are disclosed. An example method disclosed herein includes determining a first sensor of a plurality of sensors toward which a vehicle is moving based on image data generating by the plurality of sensors; designating the first sensor as a reference sensor; combining the image data from the plurality of sensors to generate combined image data representative of the vehicle and an object carried by the vehicle, the combining based on reference sensor; generating a plurality of clusters based on the combined image data; and identifying a first one of the clusters nearest the reference sensor as the object.

Methods, systems and apparatus for segmenting and dimensioning objects

Methods, systems and apparatus for segmenting objects are provided. A controller: receives, from one or more sensors, a 3D representation of a scene that includes an object represented by a 3D model; determines an orientation of a 2D image in the 3D representation by matching the 2D image with a corresponding region of the 3D representation; determines a first portion of the 3D representation that corresponds to a subset of the 3D model of the object from: the orientation of the 2D image in the 3D representation; and predetermined matching data representative of a matching of the 2D image with a respective corresponding region of the 3D model, each of the 3D model, the 2D image, and the predetermined matching data stored in a memory accessible to the controller; segments the first portion of the 3D representation from a second portion of the 3D representation.

Methods, systems and apparatus for segmenting objects

Image processing systems and methods are provided for extrinsic calibration of a plurality of image sensors. A logic circuit receives image data for an omnidirectional object from image sensors spaced apart and imaging at least a portion of a region of interest. The logic circuit combines the image data from the image sensors to generate a calibration matrix for the image sensors and to determine a matrix transformation data based on (i) reference image data and (ii) a three-dimensional model of the reference object. The logic circuit modifies the calibration matrix into an enhanced calibration matrix by applying the matrix transformation data to the calibration matrix, where the enhanced calibration matrix can be used to calibrate the plurality of image sensors.

Growing community of inventors

Wheeling, IL, United States of America

Bo Fu