A method and apparatus for correcting auto-exposure settings of a barcode reader based on modifying an auto-exposure region at a barcode reader for decoding a barcode in response to identifying a barcode and failing to decode the barcode due to incorrect initial exposure parameters, wherein the modified auto-exposure region is based at least in part on the barcode location.

A modular off-platter detection assembly for use with a barcode reader includes a housing, a first light source, a first light sensor, and a controller operatively coupled to the first light source and the first light sensor. The housing is configured to be removably mounted to the barcode reader, a frame supporting the barcode reader, or the workstation. The first light source is positioned within the housing and emits a first light along a first lateral edge of a weigh platter. The first light sensor is positioned within the housing, has a first field-of-view along the first lateral edge, and is configured to detect at least a portion of the first light reflected towards the housing. The controller is configured to provide a first alert in response to receipt of a first value from the first light sensor indicating there is an object extending across the first lateral edge.

A system and method for use in decoding a dot code carried by a glass substrate or container. The method comprises converting an image of a dot code to a grayscale image to remove effects of at least one of color of the glass substrate or color of ambient light, where the image includes a plurality of circular dots; detecting edges of the circular dots in the grayscale image to produce an edge-detected image; filtering the edge-detected image to produce a filtered image; applying a Close transform to convert open instances of the circular dots to closed instances of the circular dots; and identifying quantity and position of all of the circular dots. The method may further include applying a transform to remove background noise from the filtered image and/or filling all the closed instances of the circular dots.

A modular off-platter detection assembly for use with a barcode reader includes a housing, a first light source, a first light sensor, and a controller operatively coupled to the first light source and the first light sensor. The housing is configured to be removably mounted to the barcode reader, a frame supporting the barcode reader, or the workstation. The first light source is positioned within the housing and emits a first light along a first lateral edge of a weigh platter. The first light sensor is positioned within the housing, has a first field-of-view along the first lateral edge, and is configured to detect at least a portion of the first light reflected towards the housing. The controller is configured to provide a first alert in response to receipt of a first value from the first light sensor indicating there is an object extending across the first lateral edge.

An example system includes a stage identification portion to determine a stage in a progression of a progressive identifier, and an identifier encoding portion to encode or read the progressive identifier. A number or percentage of bits of the progressive identifier encoded, or read as encoded, by the identifier encoding portion is uniquely associated with the stage in the progression.

An example system includes a stage identification portion to determine a stage in a progression of a progressive identifier, and an identifier encoding portion to encode or read the progressive identifier. A number or percentage of bits of the progressive identifier encoded, or read as encoded, by the identifier encoding portion is uniquely associated with the stage in the progression.

Systems and methods of processing image data using color image sensors are disclosed herein. An example object scanner includes a color image sensor array configured to produce image data representative of an imaging field of view. The example object scanner also includes an image processor. The image process is configured to separate the image data produced by the color image sensor array into two or more channels of image data and, for each of the channels of image data, analyze the respective image data to determine a contrast of the respective image data. The image processor is also configured to select a particular channel of the two or more channels that has the highest contrast; and output the image data corresponding to the particular channel.

There is provided a method and apparatus for tracking of items and containers of items. The method comprises generating a set of unique item identifier codes, each identifier code corresponding to a specific item in a set of items. Then, at a production line, uniquely identifying multiple items by marking the multiple items with the corresponding unique item identifiers. The method further includes detecting the unique item identifiers on the set of items and transmitting the detected unique item identifiers to a processor. After aggregating items into containers, containers are marked with container identifiers. The method then associates the detected container identifier in the database with detected item identifiers.

A code reader for the reading of optical codes is provided that has an image sensor for the detection of image data with the code and that has a control and evaluation unit that is configured to read the code with at least one decoding method, wherein the control and evaluation unit is connected to a distance sensor that determines a distance value for the distance of the code. The control and evaluation unit is further configured for the purpose of setting at least one parameter and/or including at least one additional algorithm of the decoding method for the decoding method in dependence on the distance value.

A barcode recognition apparatus and a barcode recognition method. The barcode recognition method includes receiving, from a sensor, a triggering message indicating that a product enters, setting a camera focus on the basis of a barcode in an image of the product obtained using a camera upon receiving the triggering message, obtaining a product image according to the set camera focus, performing preprocessing for extracting a barcode region on the product image, extracting the barcode region from the preprocessed image, and deriving barcode information from the extracted barcode region.