Datalogic Adc, Inc.

Psc Scanning, Inc.

Sensormatic Electronics Corporation

Datalogic Usa, Inc.

Datalogic Scanning, Inc.

Other

Spectra-physics Scanning Systems, Inc.

Michael P Svetal

Jeffrey J Hoskinson

Paul R Huss

Stepan Ryabinin

Bryan L Olmstead

Robert William Rudeen

Jorge Louis Acosta

Craig H Bontly

Mohamed Arif Salim

Mohan LeeLaRama Bobba

Christopher N Lenart

Ryan Brandon Thompson

David J Newman

Matt D Schler

Gary J Oldham

Brianne E Howard

Marco A Torres, Ii

Craig D Cherry

Alan Shearin

Alexander Malcolm McQueen

WenLiang Gao

Brian Monroe McMaster

Justin Beghtol

Mohamed Hamidat

A scanning device includes: an image sensor configured to capture at an indicia image of an indicia carried on a surface of the object and an object image of a different portion of the object, wherein the indicia encodes an identifier of the object; and a processor. The processor is to: interpret the indicia to decode the identifier of the object therefrom; in response to a successful decode, transmit the identifier to a store database server for the store database server to correlate the identifier to a price at which the object is to be sold and to respond with the price; in response to a failure to obtain the price based on the indicia, transmit the at least one image to an exception handling server for the exception handling server to respond with the price; receive the price; and visually present the price to enable selling the object.

Assisted identification of ambiguously marked objects

A checkout system for data reading, and related methods of use, the checkout system including one or more data reading devices with a conveyor for transporting items toward a read zone of the data reading devices, and an exception identification system capable of identifying exception items transported through the read zone without being successfully identified by the data reader. An imaging system acquires one or more images of these exception items, and these images are presented to a user on a display screen, whereby the user manipulates the images of the exception items to associate the images with item information (such as item description, price, etc.) to clear any exception items.

System and method for exception handling in self-checkout and automated data capture systems

A checkout system for data reading, and related methods of use, the checkout system including one or more data reading devices with a conveyor for transporting items toward a read zone of the data reading devices, and an exception identification system capable of identifying exception items transported through the read zone without being successfully identified by the data reader. The checkout system includes an exception handling system operable to receive exception handling input for resolving an exception associated with the exception item, and a feedback system for receiving the exception handling input and determining whether and how to adjust an object recognition model of the data reading devices to improve performance.

Data reading system and method with user feedback for improved exception handling and item modeling

An automated checkout system and method including a conveyor system that automatically transports objects along an item path through a read zone of a data reader (such as a portal data reader, tunnel scanner or other type of automated reader) and to an exit zone, an indicator system disposed in or along the exit zone that provides indication as to whether an item has been identified by the portal data reader. In one example, the indicator system includes lights at an indicator location that are selectively alighted a given color for the duration of the item passing the indicator location depending upon whether the reader successfully read the item (e.g., color green) or unsuccessfully read the item (e.g., color red).

Portal data reader indicator light control

Systems and methods for exception handling in an automated machine-readable symbol reader system having a machine-readable symbol reader that captures machine-readable symbols within a view volume. One or more image capture devices obtain a plurality of images of an exception object in response to an exception generated in the view volume. A processor receives the images, identities visual object recognition features from each image, and compares the features to determine one or more descriptive measures indicative of a likelihood that an operator (e.g., store employee) will be able to identify the exception object by viewing the image. The processor displays at least one of the images (e.g., the most descriptive image) on a display device according to the descriptive measure so that an operator can rapidly identify the identity of the exception object and take steps to resolve the exception.

Object recognition for exception handling in automatic machine-readable symbol reader systems

Data reader for checkout station

Self checkout and automated checkout systems and methods for multiple lane checkout stations, the automated checkout lane having a conveyor system that automatically transport objects through a portal data reader, wherein an operator (such as a checkout clerk) is provided with a portable/handheld data input and display device that allows the operator to move between multiple checkout stations for handling reading exceptions at the checkout station by employing the portable device.

Using a mobile device to assist in exception handling in self-checkout and automated data capture systems

Systems and methods for transferring items over transition gap between conveyor sections of automated checkout system

Systems and methods for data reading, which in one example configuration is directed to an automated optical code data reader in the form of a tunnel or portal scanner having an open architecture configured with front and rear inverted U-shaped arches, a plurality of cameras (some or most of which have multiple fields of view) in each of the arches for reading the top live sides of an item being passed by a conveyor through a read region formed by the arches, and a bottom reader including one or more cameras under the conveyor for reading a bottom side of the item through a gap in the conveyors as the item is passed over the gap. Also disclosed are specific imaging schemes for providing effective views of the items with a minimum number of cameras.

Tunnel or portal scanner and method of scanning for automated checkout

An automated system for reading optical codes includes a conveyor system to automatically transport objects and an object measurement system positioned along the conveyor system to measure the transported objects. In one configuration, the object measurement system generates model data representing three-dimensional models of the objects; multiple image capture devices positioned along the conveyor system capture images as the objects are transported to enable an optical code reading system to read optical codes that are captured in the images. An exception identification system associates optical codes with the three-dimensional models to determine whether an exception has occurred.

Exception detection and handling in automated optical code reading systems

An arrangement for a tunnel scanner includes a chassis with a first data reader structure and a second data reader structure attached thereto. The first and second data reader structures include data readers that are pre-positioned before the first and second data reader structures are attached to the chassis. Indexing features of the first and second data reader structures cooperate with corresponding indexing features of the chassis to properly position the data readers relative to the chassis. In one assembly method, one or more data reader structures having pre-positioned data readers are shipped to an assembly location for a tunnel data reader. A chassis is either provided at or shipped to the assembly location. In one configuration, the data reader structures are indexed and attached to the chassis such that each data reader is placed at a desired location and orientation with respect to the chassis.

Modular scanner component mounting system for checkstand

Tunnel scanner

Systems and methods for data reading, which in one example configuration is directed to an automated optical code data reader in the form of a tunnel or portal scanner having an open architecture configured with front and rear inverted U-shaped arches, a plurality of cameras (some or most of which have multiple fields of view) in each of the arches for reading the top five sides of an item being passed by a conveyor through a read region formed by the arches, and a bottom reader including one or more cameras under the conveyor for reading a bottom side of the item through a gap in the conveyors as the item is passed over the gap. Also disclosed are specific imaging schemes for providing effective views of the items with a minimum number of cameras.

Growing community of inventors

Eugene, OR, United States of America

Michael P Svetal