A method of detecting an edge of a support surface by an imaging controller includes: obtaining a plurality of depth measurements captured by a depth sensor and corresponding to an area containing the support surface; selecting, by the imaging controller, a candidate set of the depth measurements; fitting, by the imaging controller, a guide element to the candidate set of depth measurements; and detecting, by the imaging controller, an output set of the depth measurements corresponding to the edge from the candidate set of depth measurements according to a proximity between each candidate depth measurement and the guide element.

Disclosed herein is a barcode reading system that includes an image decoding system, a communication interface, and an image sensor system package. The image decoding system may include a processor, memory, and a decoder stored in the memory. The image sensor system package may be coupled to the image decoding system via the communication interface. The image sensor system package may include a photo sensor array and pre-processing circuitry. The photo sensor array may be configured to capture image frames at a first speed. The pre-processing circuitry may be configured to perform one or more operations on the image frames captured by the photo sensor array. The pre-processing circuitry may be additionally configured to effect transfer of at least some of the image frames to the image decoding system via the communication interface at a second speed. The first speed may be greater than the second speed.

Disclosed herein is a barcode reading system that includes an image decoding system, a communication interface, and an image sensor system package. The image decoding system may include a processor, memory, and a decoder stored in the memory. The image sensor system package may be coupled to the image decoding system via the communication interface. The image sensor system package may include a photo sensor array and pre-processing circuitry. The photo sensor array may be configured to capture image frames at a first speed. The pre-processing circuitry may be configured to perform one or more operations on the image frames captured by the photo sensor array. The pre-processing circuitry may be additionally configured to effect transfer of at least some of the image frames to the image decoding system via the communication interface at a second speed. The first speed may be greater than the second speed.

Barcode readers with off-platter detection assemblies are disclosed herein. An example barcode reader includes a weigh platter and an off-platter detection assembly including a light emission assembly, a light detection assembly, and a controller. The light emission assembly emits a light along a first lateral edge of the weigh platter and the light detection assembly detects at least a portion of the light from the light emission assembly. The controller is configured to: receive a light detection signal from the light detection assembly; compare the light detection signal to a first signal threshold and a second signal threshold range; execute a first event if the light detection signal is less than the first signal threshold, indicating an off-platter event; and execute a second event if the light detection signal is within the second signal threshold range for a predetermined period of time, indicating a maintenance event.

A barcode reader has a housing, weigh platter, and off-platter detection assembly including first and second imaging assemblies in communication with a controller. The first imaging assembly has a first imager configured to capture an image of a first lateral edge of the weigh platter. The second imaging assembly has a second imager configured to capture an image of a second lateral edge of the weigh platter. The controller is configured to: identify and locate the first and second lateral edges; receive first and second images from the imagers; allow the weight of an object to be recorded if determined that a footprint of the object does not extend over the first or second lateral edges; and prevent the weight of the object from being recorded and/or providing an alert to a user if determined that the footprint of the object does extend over the first or second lateral edges.

The present application provides a method and apparatus for presenting a graphic code. The method includes: after detecting that a graphic code page is invoked, starting a front-facing image capture module of a current device to perform image capturing; performing image recognition on a captured image, and if the captured image includes a pre-configured feature of a code scanning module, calculating an offset distance between the code scanning module and a current presentation location of a graphic code; and calculating a target presentation location based on the offset distance, and presenting the graphic code at the target presentation location. Based on the method provided in the present application, a location of a graphic code can be adapted automatically, and a user does not need to perform alignment, thereby improving user experience.

Methods of detecting scan avoidance events during decode sessions are disclosed herein. An example method includes during a timeout period at one or more processors of the symbology scanner, identifying and decoding a transaction affecting indicia on an object in one or more images to obtain a transaction affecting payload; during the timeout period at the one or more processors, identifying one or more visual features in the one or more images; and in response to identifying a non-transaction affecting indicia associated with the one or more visual features, and failing to identify or decode the transaction affecting indicia, determining a potential scan avoidance attempt and generating a scan avoidance alarm signal.

Disclosed in the present specification is a self-checkout device to which hybrid product recognition technology is applied and which helps a user to more conveniently and quickly make a payment. The self-checkout device according to the present specification photographs a product with a plurality of cameras, and then recognizes a barcode by detecting a barcode region from the captured images and, simultaneously, extracts a feature point of the images such that a product can be recognized through the calculation of the proportion that matches with a reference image of the product. Thus, a product can be quickly recognized through barcode recognition and packaging paper recognition in a product image.

A display includes two-integrated cameras. A first camera is situated in a top right corner of a front display surface of the display and a second camera is situated in a top left corner of the front display surface. The display is connected to a transaction terminal with the first camera focused on a bagging area associated with the transaction terminal and with the second camera focused on a staging area associated with the transaction terminal. Each camera captures images of items and the item images are streamed over a high-speed display port directly to the transaction terminal. The transaction terminal performs item recognition, item tracking, and auditing on the items based the item images during transaction processing at the transaction terminal.

Depth information from a depth sensor, such as a LiDAR system, is used to correct perspective distortion for decoding an optical pattern in a first image acquired by a camera. Image data from the first image is spatially correlated with the depth information. The depth information is used to identify a surface in the scene and to distort the first image to generate a second image, such that the surface in the second image is parallel to an image plane of the second image. The second image is then analyzed to decode an optical pattern on the surface identified in the scene.