Datalogic IP Tech S.r.l.

Datalogic Automation S.r.l.

Stefano Santi

Lorenzo Vorabbi

Brett Howard

Aric Zandhuisen

Alexander Malcolm McQueen

Rinaldo Zocca

Kurt Vonmetz

Francesco Deppieri

Fabrizio Guastadini

Luigi Pellegrino

Matt Monte

Keith Harrison Rogers

Steven Gutke

Christian Gabor

Alan Guess

Lucrezia Paradisi

A code reader may include a non-transitory memory configured to store multiple image processing filters including at least one pipelined complex image processing filter. An image sensor may be configured to image machine-readable indicia. Processor(s) of the code reader may be configured to perform an automatic setup procedure that captures one or more sample machine-readable indicia. The sample machine-readable indicia may be decoded by utilizing the image processing filters including at least one of the pipelined complex image processing filter(s) determined offline from the code reader. A subset of the image processing filters may be selected based on performance of the image processing filters in decoding the multiple sample machine-readable indicia for use during normal code reading operations of the code reader may be performed. Normal code reading operations may be performed in reading machine-readable indicia using the selected subset of the image processing filters.

Offline selection of optimal 2D image filters chains for recover decodability of direct part marked (DPM) and poorly printed labels

The disclosure includes a fixed retail scanner includes a data reader. The data reader includes a main board including a system processor disposed within the data reader, and one or more camera modules disposed within the data reader and operably coupled with the system processor. Each camera module may include a local on-board imager AI engine configured to perform AI tasks according to a loaded trained AI model. A system artificial intelligence (AI) engine may be disposed within the data reader and configured to perform AI tasks according to a loaded trained AI model. The system processor is operably coupled to each of the imager AI engines and the system AI engine for scheduling and dispatching AI tasks across a distributed network of AI resources including the imager AI engines and the system AI engine.

Fixed retail scanner with distributed on-board artificial intelligence (AI) accelerator modules and related methods

The disclosure includes a fixed retail scanner including a data reader, comprising a main board including one or more processors including a system processor, one or more camera modules, and an artificial intelligence (AI). The system processor is configured to transmit image data received from the one or more camera modules responsive to one or more event triggers detected by the system processor, and wherein the AI accelerator is configured to perform analysis based on an AI engine local to the AI accelerator in response to the event trigger. A remote server may also be operably coupled to the fixed retail scanner through the multi-port network switch, the remote server having a remote AI engine stored therein, wherein the local AI engine within the fixed retail scanner is a simplified AI model relative to the remote AI engine within the remote server.

Fixed retail scanner with on-board artificial intelligence (AI) accelerator module and related methods

A decoding device includes a processor configured to: analyze a captured image having a 2D captured image coordinate system to identify an instance of a type of anchor marking therein; derive an orientation thereof relative to the captured image coordinate system; correlate the type of anchor marking to a relative location of a corresponding type of target marking within a 2D normalized coordinate system; employ the location and orientation of the instance of the type of anchor marking within the captured image coordinate system, and the relative location of the type of target marking within the normalized coordinate system to derive a location of an instance of the type of target marking within the captured image coordinate system; attempt interpretation of the instance of the type of target marking at the derived location to decode data thereat; and in response to a successful decode, transmit the data to another device.

System for multiple decode of captured images

A method of operation of an optical character recognition pre-localization system, comprising receiving an image having an original frame to be pre-processed for optical character recognition, applying a pyramid filter to the original frame in order to create a filtered image containing blobs to be analyzed as potential regions of interest that may contain characters, tiling the filtered image into a set of tiles of a defined tile size, and for each tile, determining a contrast, a module value and a gradient angle, identifying a first tile of the set of tiles of the filtered image, wherein the contrast and the module values of the first tile are higher than a respective contrast threshold and module threshold, and generating at least one region of interest of the original frame to be passed to an optical character recognition decoding module based on the first tile, and related systems.

Systems and methods for pre-localization of regions of interest for optical character recognition, and devices therefor

A system and method for localizing an area of interest likely containing a digital watermark is disclosed. Image frames may be segmented into multiple tiles. A pixel having the maximum grayscale or other value and a pixel having the minimum grayscale or other value in each tile may be identified. Maximum and minimum image maps may be generated from the image frame by replacing each tile with the respective maximum and minimum grayscale or other value pixels. A background map may be generated based on a moving average of the grayscale values of the pixels in the image maps. Foreground map(s) may be generated based on the difference of the values from the image maps to the background map. A region of interest may be determined based on the background and foreground maps and provided to a watermark decoder. Content contained in the digital watermark may be read.

Systems and methods for digital watermark localization based upon background foreground estimation

A decoding device includes decoding storage to store metadata of tiles of a captured image of an object, wherein each tile includes a 2D array of pixels, and the metadata is derived by a subsampling circuit from the captured image via transform and describes at least one characteristic of each tile. The decoding device also includes a processor to compare a metadata value of each tile to a first threshold to identify tiles that includes a portion of an indicia; upon identification of a cluster of adjacent tiles that each meet the first threshold and that are numerous enough to meet a second threshold, request a ROI that includes the cluster from a subsampling circuit; analyze the ROI to determine whether it contains the indicia; and decode and transmit data encoded within the indicia to a server.

Coded image capture and decoding system

A system and method for processing imaged machine readable indicia may include capturing an image of a machine readable indicia including multiple codewords. A determination of an actual scanline of a codeword of the captured indicia may be made. A virtual scanline of the codeword of the imaged indicia for a type of symbology may be generated. In response to the virtual and actual scanlines matching, data representative of the codeword may be stored. Otherwise, repeat generating virtual scanlines of the codewords and compare the generated virtual scanlines with the actual scanlines until a match is identified or possible virtual codewords are exhausted. In response to a match, data representative of the matched scanline may be stored. The process may further repeatedly determine, generate, and compare until each codeword is determined. Data represented by the indicia based on the stored data representative of the matched codewords may be generated.

Virtual wave decoder for blurred images and subpixel performance

A decoding device includes storage to store image data including grayscale values of pixels in multiple captured images, and a processor including multiple SIMD components and at least one component. For each captured image at least one available SIMD component performs: at least one transform with the grayscale values of at least one portion of the captured image to generate at least one corresponding metadata; and the at least one transform in preparation for an analysis of the at least one metadata by the at least one core component. The at least one core component is to perform: the analysis to identify at least one ROI within the captured image indicated by the at least one metadata to include at least one encoded data marking; and a decoding of the at least one ROI to attempt a decode of the at least one encoded data marking.

A decoding device may include a processor that may include a core component configured to: analyze watermark metadata to identify a watermark ROI from among multiple candidate ROIs in response to generation of the watermark metadata, determine whether rectification is to be performed within the watermark ROI, perform watermark decoding with the rectified watermark ROI data to decode data encoded within a digital watermark within the rectified watermark ROI in response to performance of the rectification, and transmit the data to a server via a network in response to successful decode of the data. The processor may also include a SIMD component configured to perform at least one of: a watermark transform with the captured image to generate the watermark metadata, and the rectification within the watermark ROI to generate the rectified watermark ROI data in response to the determination by the core component to perform the rectification.

SIMD-based system for multiple decode of captured images

Systems and methods of operation for a machine-readable symbol reader for estimating the relative position, orientation and/or distance of a scanned target object or item labeled with two dimensional (2D) indicia, such as a digital watermark. Such estimation information may be provided to a localization process or a decoding process to assist such processes in decoding the 2D indicia from an image of the object labeled with the 2D indicia. The machine-readable symbol reader may include an aiming system which projects a light pattern onto a target object. The reader may capture one or more images of the target object while the light pattern is projected thereon and analyze at least one characteristic of the pattern to estimate position, orientation or distance of the target object relative to the machine-readable symbol reader. Such information may be used to improve decoding of the 2D indicia.

2D indicia pose estimation and consequent grid localization and/or synchronization

A fixed vision system includes a sensor having a sensitive surface for acquiring an image of an object on a detecting plane, and a light-emitting device for generating a luminous reference figure on the detecting plane including an emission surface, and an objective through which a luminous radiation (from the object to the sensor) and a further luminous radiation (from the light-emitting device to the object) pass. The sensor and the light-emitting device are positioned such that, when the detecting plane is focused by the objective on the sensor, the sensitive surface is on the image plane generated by the objective or on a respective mirror plane with respect to the image plane and the emission surface of the light-emitting device is on the image plane or on a respective mirror plane with respect to the image plane.

Growing community of inventors

Eugene, OR, United States of America

Stefano Santi