Cognex Corporation

James A Negro

Xiangyun Ye

Ivan A Bachelder

Laurens Nunnink

Carl W Gerst

Richard Reuter

John F Keating

Mario Joussen

Earle Stokes

Frank Winzen

Joerg Kesten

Xianju Wang

Ahmed El-Barkouky

Michael C Moed

Shekhar Sastry

Yael Steinsaltz

Vladimir Zivkovic

Shane Michael LaChappelle

Cyril C Marrion

Matthew D Engle

Steven G Webster

Kai Flügge

Robb Robles

David Vekony

Jozsef Borovszki

Xiangju Wang

A system may comprise a transport device for moving at least one object, wherein at least one substantially planar surface of the object is moved in a known plane locally around a viewing area, wherein the substantially planar surface of the object is occluded except when the at least one substantially planar surface passes by the viewing area, at least one 2D digital optical sensor configured to capture at least two sequential 2D digital images of the at least one substantially planar surface of the at least one object that is moved in the known plane around the viewing area, and a controller operatively coupled to the 2D digital optical sensor, the controller performing the steps of: a) receiving a first digital image, b) receiving a second digital image, and c) stitching the first digital image and the second digital image using a stitching algorithm to generate a stitched image.

Systems and methods for stitching sequential images of an object

This invention provides a vision system camera, and associated methods of operation, having a multi-core processor, high-speed, high-resolution imager, FOVE, auto-focus lens and imager-connected pre-processor to pre-process image data provides the acquisition and processing speed, as well as the image resolution that are highly desirable in a wide range of applications. This arrangement effectively scans objects that require a wide field of view, vary in size and move relatively quickly with respect to the system field of view. This vision system provides a physical package with a wide variety of physical interconnections to support various options and control functions. The package effectively dissipates internally generated heat by arranging components to optimize heat transfer to the ambient environment and includes dissipating structure (e.g. fins) to facilitate such transfer. The system also enables a wide range of multi-core processes to optimize and load-balance both image processing and system operation (i.e. auto-regulation tasks).

Symbology reader with multi-core processor

In accordance with some embodiments of the disclosed subject matter, methods, systems, and media for generating images of multiple sides of an object are provided. In some embodiments, a method comprises receiving information indicative of a 3D pose of a first object in a first coordinate space at a first time; receiving a group of images captured using at least one image sensor, each image associated with a field of view within the first coordinate space; mapping at least a portion of a surface of the first object to a 2D area with respect to the image based on the 3D pose of the first object; associating, for images including the surface, a portion of that image with the surface of the first object based on the 2D area; and generating a composite image of the surface using images associated with the surface.

Methods, systems, and media for generating images of multiple sides of an object

A system and method for communicating at least one of updated configuration information and hardware setup recommendations to a user of an ID decoding vision system is provided. An image of an object containing one or more IDs is acquired with a mobile device. The ID associated with the object is decoded to derive information. Physical dimensions of the ID associated with the object are determined. Based on the information and the dimensions, configuration data can be transmitted to a remote server that automatically determines setup information for the vision system based upon the configuration data. The remote server thereby transmits at least one of (a) updated configuration information to the vision system and (b) hardware setup recommendations to a user of the vision system based upon the configuration data.

System and method for configuring an ID reader using a mobile device

Systems and methods for reading a two-dimensional matrix symbol or for determining if a two-dimensional matrix symbol is decodable are disclosed. The systems and methods can include a data reading algorithm that receives an image, locates at least a portion of the data modules within the image without using a fixed pattern, fits a model of the module positions from the image, extrapolates the model resulting in predicted module positions, determines module values from the image at the predicted module positions, and extracts a binary matrix from the module values.

Systems and methods for decoding two-dimensional matrix symbols with incomplete or absent fixed patterns

The techniques described herein relate to methods, apparatus, and computer readable media configured to decode a symbol in a digital image. A digital image of a portion of a symbol is received, which includes a grid of pixels and the symbol includes a grid of modules. A spatial mapping is determined between a contiguous subset of modules in the grid of modules to the grid of pixels. Causal relationships are determined, using the spatial mapping, between each module and the grid of pixels. A set of valid combinations of values of neighboring modules in the contiguous subset of modules are tested against the grid of pixels using the causal relationships. A value of at least one module of the two or more neighboring modules is determined based on the tested set of valid combinations. The symbol is decoded based on the determined value of the at least one module.

Methods and apparatus for decoding under-resolved symbols

A method and apparatus for decoding codes applied to objects for use with an image sensor that includes a two dimensional field of view (FOV), the method comprising the steps of providing a processor programmed to perform the steps of obtaining an image of the FOV and applying different decode algorithms to code candidates in the obtained image to attempt to decode the code candidates wherein the decode algorithm applied to each candidate is a function of the location of the code candidate in the FOV.

Method and apparatus for performing different decoding algorithms in different locations

A vision system camera, and associated methods of operation, having a multi-core processor, high-speed, high-resolution imager, FOVE, auto-focus lens and imager-connected pre-processor to pre-process image data provides the acquisition and processing speed, as well as the image resolution that are highly desirable in a wide range of applications. This arrangement effectively scans objects that require a wide field of view, vary in size and move relatively quickly with respect to the system field of view. This vision system provides a physical package with a wide variety of physical interconnections to support various options and control functions. The package effectively dissipates internally generated heat by arranging components to optimize heat transfer to the ambient environment and includes dissipating structure (e.g. fins) to facilitate such transfer. The system also enables a wide range of multi-core processes to optimize and load-balance both image processing and system operation (i.e. auto-regulation tasks).

Systems and methods are provided for decoding barcodes. A scan signal is acquired along a scan through a barcode. A first character unit grid for a unit width pattern within the barcode along the scan is determined. At least one set of sampling coefficients relating the unit width pattern to a portion of the scan signal is determined based on the first character unit grid. The element width pattern for the unit width pattern is determined based on the at least one set of sampling coefficients and the portion of the scan signal.

Decoding barcodes

Computerized methods and systems for locating barcodes applied to objects are provided. A method can receive a first image of a first barcode fragment applied to a first object captured at a first time and identify a first position of the first barcode fragment. The method can also receive a second image of a second barcode fragment captured at a second time and identify a second position of the second barcode fragment. The method can also predict a range of possible positions of the first barcode fragment at the second time based on a tracking model that tracks the first barcode fragment based on the first position, and determine that the first barcode fragment and the second barcode fragment correspond to the same barcode, if the second position is within the range of possible positions of the first barcode fragment at the second time.

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Arlington, MA, United States of America

James A Negro