Conduent Business Services, LLC

Xerox Corporation

Thomas F Wade

Wencheng Wu

Dennis Lee Venable

Peter Paul

Daniel S Hann

Charles Donahue Rizzolo

Robert P Loce

Edgar A Bernal

Steven Robert Moore

Adrien Pierre Cote

Ethan Shen

Yi-Ting Shen

Riyad Twahir

Beilei Xu

Adrien Pierre Côté

Lee Anne Williams

Helen HaeKyung Shin

Raja Bala

Aaron Michael Burry

Orhan Bulan

Peter John Knausdorf

Abu Saeed Islam

Graham Stephen Pennington

Mary Ann Sprague

Hao Wu

Patricia Swenton-Wall

Megan Clar

Eric Harte

Waqas Sultani

Lisa Michelle Bozek

Lee Anne S Williams

A store profile generation method includes moving a mobile base around a product facility which includes an arrangement of product display units for displaying products. Product labels are associated with the display units. The product labels display product-related data for the displayed products. With an image capture assembly mounted on the mobile base, images are acquired of the product display units at a sequence of locations of the mobile base. With a computer processor, the product-related data is extracted from the acquired images and a store profile is constructed, based on the extracted product-related data, a spatial characterization of the image capture assembly, and information on the locations of the mobile base when the images were acquired, which indicates locations of the product labels throughout the product facility.

Store shelf imaging system

A system for acquiring multi-angle images of a product includes a workstation having a working surface for placing a product, a camera supporting member having a vertical axis, and an image capturing device movably attached to the camera supporting member so that it may move along the vertical axis of the camera supporting member. The system captures and analyzes a digital image of a product to detect the vertical center of the product, and adjusts the position of the image capturing device along the vertical axis so that the vertical center of the product is proximate to the vertical center of the image. The system may also have a turntable and additionally rotate the turntable at multiple capturing angles and capture one or more additional digital images of the product at various capturing angles and store the one or more additional images in a product database.

Method and system for acquiring images of a product from multiple angles

Method and system for acquiring multi-angle images of a product

Multi-angle product imaging device

A store profile generation system includes a mobile base and an image capture assembly mounted on the base. The assembly includes at least one image capture device for acquiring images of product display units in a product facility, product labels being associated with the product display units which include product-related data. A control unit acquires the images captured by the at least one image capture device at a sequence of locations of the mobile base in the product facility. The control unit extracts the product-related data from the acquired images and constructs a store profile indicating locations of the product labels throughout the product facility, based on the extracted product-related data. The store profile can be used for generating new product labels for a sale in an appropriate order for a person to match to the appropriate locations in a single pass through the store.

A store profile generation system includes a mobile base and an image capture assembly mounted on the base. The assembly includes at least one image capture device for acquiring images of product display units in a retail environment. A control unit acquires the images captured by the at least one image capture device at a sequence of locations of the mobile base in the retail environment. The control unit extracts product-related data from the acquired images and generates a store profile indicating locations of products and their associated tags throughout the retail environment, based on the extracted product-related data. The store profile can be used for generating new product labels for a sale in an appropriate order for a person to match to the appropriate locations in a single pass through the store.

Store shelf imaging system and method

This disclosure provides a retail environment robotic system including a vertically oriented/scanning LIDAR (Light Detection and Ranging) unit mounted to a mobile base which travels along the aisles of a retail environment such as a store. According to an exemplary embodiment, the LIDAR unit vertically scans product display units along the aisles to generate a depth map associated with detected objects which is further processed to detect missing products, product/shelving tags, shelves, etc.

Store shelf imaging system and method using a vertical LIDAR

A system to detect and maintain retail store promotional price tags (PPTs) includes a heuristic PPT description extractor module, a heuristic rule deriver module, a store shelf image acquisition system, a barcode locator and recognizer module, and a heuristic PPT classifier module. The heuristic PPT description extractor module extracts heuristic descriptions of PPTs. The heuristic rule deriver module derives a set of heuristic parameters for the PPTs. The barcode locator and recognizer module analyzes images acquired by the store shelf image acquisition system to localize and recognize barcodes. The heuristic PPT description classifier module extracts heuristic attributes from the images acquired by the store shelf image acquisition system using the set of PPT parameters supplied by the heuristic rule deriver module.

System and method for retail store promotional price tag detection

A method for profiling a location of an image capture device in a region of interest. The method comprises acquiring an image captured by an image capture device. The method comprises acquiring a reported position and pose of the image capture device. The method comprises processing the captured image to detect an object in the captured image. The method comprises identifying a set of interest points characterizing the captured object. The method comprises generating a relative position and pose of the interest points based on dimensional information associated with the captured object. The method comprises computing an estimated position and pose of the image capture device to the object using the reported position and pose of the image capture device and the relative position of the interest points. The method comprises computing the estimated position and pose of the mobile imaging device based on the estimated distance. The method comprises updating the reported position and pose of the image capture device to the estimated position.

High accuracy localization system and method for retail store profiling via product image recognition and its corresponding dimension database

A system and method for detecting electronic device use by a driver of a vehicle including acquiring an image including a vehicle from an associated image capture device positioned to view oncoming traffic, locating a windshield region of the vehicle in the captured image, processing pixels of the windshield region of the image for computing a feature vector describing the windshield region of the vehicle, applying the feature vector to a classifier for classifying the image into respective classes including at least classes for candidate electronic device use and candidate electronic device non-use, and outputting the classification.

Machine learning approach for detecting mobile phone usage by a driver

This disclosure provides an image processing method and system for recognizing barcodes and/or product labels. According to an exemplary embodiment, the method uses a multifaceted detection process that includes both image enhancement of a candidate barcode region and other product label information associated with a candidate barcode region to identify a product label, where the candidate barcode region includes a nonreadable barcode. According to one exemplary application, a store profile is generated based on the identifications of the product labels which are associated with a location of a product within a store.

Image processing methods and systems for barcode and/or product label recognition

Growing community of inventors

Rochester, NY, United States of America

Thomas F Wade