Cognex Corporation

Cognex Technology and Investment Corporation

William M Silver

Adam Wagman

Aaron S Wallack

E John McGarry

Sanjay J Nichani

Willard P Foster

Nigel John Foster

Ivan A Bachelder

Robert A Wolff

Brian V Mirtich

Brian Phillips

David A Schatz

Matthew Leon Hill

Andrew Eames

Matt Hill

Arman M Garakani

Jean-Pierre Schott

David P Bedrosian

Steven Mark Rosenthal

Robert Shillman

Robert Anthony Wolff

David J Michael

Cyril C Marrion

Xiangyun Ye

Karen B Sarachik

Robert Tremblay

Philip B Romanik

Simon Barker

Raymond A Fix

Earle Stokes

Karen Roberts

Antonie J Engel

Ronald E Dynneson

Carroll Arbogast

Samuel Druker

Dave Schatz

Araon Wallack

Fenghua Jin

Aaron Walleck

Edward Collins

The present application discloses a probe placement module for placing probes on a virtual object depicted in an image. The probe placement module is configured to place probes on interest points of an image so that the probes can accurately represent a pattern depicted in the image. The probe placement module can be configured to place the probes so that the probes can extract balanced information on all degrees of freedom associated with the pattern's movement, which improves the accuracy of the model generated from the probes.

Probe placement for image processing

This invention provides a system and method for finding features in images that exhibit saddle point-like structures using relatively computationally low-intensive processes, illustratively consisting of an anti-correlation process, and associated anti-correlation kernel, which operates upon a plurality of pixel neighborhoods within the image. This process enables an entire image to be quickly analyzed for any features that exhibit such saddle point-like structures by determining whether the anti-correlation kernel generates a weak or strong response in various positions within the image. The anti-correlation kernel is designed to generate a strong response regardless of the orientation of a saddle point-like structure. The anti-correlation process examines a plurality of pixel neighborhoods in the image, thereby locating any saddle point-like structures regardless of orientation, as it is angle-independent. The structures are then grouped and refined (for example in a grid) in an effort to locate and decode ID topologies within the image.

System and method for finding saddle point-like structures in an image and determining information from the same

Methods and apparatus are disclosed for extracting a one-dimensional digital signal from a two-dimensional digital image along a projection line. In some embodiments a repeating sequence of pixel weight templates, and a sequence of relative positions, are selected in response to the orientation of a projection line and used to compute a sequence of weighted sums. The sequence can be selected to achieve desirable properties, for example photometric accuracy, geometric accuracy, resolution, and/or noise reduction. In some embodiments registers and multiply-accumulators are arranged and controlled so as to compute the 1D signal.

Methods and apparatus for one-dimensional signal extraction

Methods and apparatus are disclosed for extracting a one-dimensional digital signal from a two-dimensional digital image along a projection line. Disclosed embodiments provide an image memory in which is stored the digital image, a working memory, a direct memory access controller, a table memory that holds a plurality of transfer templates, and a processor. The processor selects a transfer template from the table memory responsive to an orientation of the projection line, computes a customized set of transfer parameters from the selected transfer template and parameters of the projection line, transmits the transfer parameters to the direct memory access controller, commands the direct memory access controller to transfer data from the image memory to the working memory as specified by the transfer parameters, and computes the one-dimensional digital signal using at least a portion of the data transferred by the direct memory access controller into the working memory.

Disclosed are systems and methods for configuring a vision detector, wherein a training image is obtained from a production line operating in continuous motion so as to provide conditions substantially identical to those that will apply during actual manufacturing and inspection of objects. A training image can be obtained without any need for a trigger signal, whether or not the vision detector might use such a signal for inspecting the objects. Further disclosed are systems and methods for testing a vision detector by selecting, storing, and displaying a limited number of images from a production run, where those images correspond to objects likely to represent incorrect decisions.

Method and apparatus for configuring and testing a machine vision detector

This invention provides a Graphical User Interface (GUI) that operates in connection with a machine vision detector or other machine vision system, which provides a highly intuitive and industrial machine-like appearance and layout. The GUI includes a centralized image frame window surrounded by panes having buttons and specific interface components that the user employs in each step of a machine vision system set up and run procedure. One pane allows the user to view and manipulate a recorded filmstrip of image thumbnails taken in a sequence, and provides the filmstrip with specialized highlighting (colors or patterns) that indicate useful information about the underlying images. The programming of logic is performed using a programming window that includes a ladder logic arrangement.

Human machine-interface and method for manipulating data in a machine vision system

Disclosed are methods and apparatus for automatic optoelectronic detection and inspection of objects, based on capturing digital images of a two-dimensional field of view in which an object to be detected or inspected may be located, analyzing the images, and making and reporting decisions on the status of the object. Decisions are based on evidence obtained from a plurality of images for which the object is located in the field of view, generally corresponding to a plurality of viewing perspectives. Evidence that an object is located in the field of view is used for detection, and evidence that the object satisfies appropriate inspection criteria is used for inspection. Methods and apparatus are disclosed for capturing and analyzing images at high speed so that multiple viewing perspectives can be obtained for objects in continuous motion.

Method and apparatus for visual detection and inspection of objects

Disclosed are methods and systems for optoelectronic detection and location of moving objects. The disclosed methods and systems capture one-dimensional images of a field of view through which objects may be moving, make measurements in those images, select from among those measurements those that are likely to correspond to objects in the field of view, make decisions responsive to various characteristics of the objects, and produce signals that indicate those decisions. The disclosed methods and systems provide excellent object discrimination, electronic setting of a reference point, no latency, high repeatability, and other advantages that will be apparent to one of ordinary skill in the art.

Method and system for optoelectronic detection and location of objects

A method and system for probe-based pattern matching including an apparatus for synthetic training of a model of a pattern. The apparatus comprises a sensor for obtaining an image of the pattern and a processor for receiving the image of the pattern from the sensor and running a program. In the steps performed by the program a boundary of the pattern in the image is identified. A plurality of positive probes are placed at selected points along the boundary of the pattern and at least one straight segment of the boundary of the pattern is identified. The at least one straight segment of the boundary is extended to provide an imaginary straight segment and a plurality of negative probes are placed at selected points along the imaginary straight segment, where each negative probe has a negative weight.

Method for fast, robust, multi-dimensional pattern recognition

A system and method captures a moving image of a scene that can be more readily de-blurred as compared to images captured through other methods operating on equivalent exposure-time intervals. Rather than stopping and starting the light measurement during the exposure-time interval, photo-generated current is switched between multiple charge storage sites in accordance with a temporal switching pattern that optimizes the conditioning of the solution to the inverse blur transform. By switching the image intensity signal between storage sites all of the light energy available during the exposure-time interval is transduced to electronic charge and captured to form a temporally decomposed representation of the moving image. As compared to related methods that discard approximately half of the image intensity signal available over an equivalent exposure-time interval, such a temporally decomposed image is a far more complete representation of the moving image and more effectively de-blurred using simple linear de-convolution techniques.

System and method for acquiring a still image from a moving image

Optoelectronic detection and location of moving objects is performed to capture one-dimensional images of a field of view through which objects may be moving, make measurements in those images, select from among those measurements those that are likely to correspond to objects in the field of view, make decisions responsive to various characteristics of the objects, and produce signals that indicate those decisions.

Method and apparatus for locating objects

An apparatus and method are disclosed for setting up a vision system having a camera and a vision processor cooperative with the camera. The apparatus includes a gesture recognizer, a key recognizer, a breakout box having at least two signaling elements, and a setup control unit that is cooperative with the gesture recognizer, the key recognizer, and the breakout box. The combination of using a key and a gesture set as herein described is substantially superior, as compared with known user interfaces for setting up a vision system that has been previously been engineered, in terms of low-cost, convenience, ease-of-use, simplicity, and speed.

Method and apparatus for human interface to a machine vision system

Growing community of inventors

Weston, MA, United States of America

William M Silver