Cognex Corporation

Ncr Corporation

United Parcel Service of America, Inc.

Brickstream Corporation

Emtera Corporation

Michael C Moed

Ralph N Crabtree

Robert Tremblay

Mikhail Akopyan

Mehdi Khosravi

Aaron S Wallack

James A Negro

Carl W Gerst

Robert A Wolff

John F Keating

Willard P Foster

Chih-Ping Lee

Jie Zhu

William H Equitz

E John McGarry

John F Filhaber

Jason Davis

Johannes A Bjorner

Robert J Tremblay, Ii

Ralph Crabtree

Feng Qian

Iain W Currie

Jorge E Perez-Jacome

Izrail S Gorian

Izrael S Gorian

Thomas W Bonnick

This invention provides a system for measuring displacement of an object surface having a displacement sensor that projects a line on the object surface and receives light from the projected line at an imager in a manner defines a plurality of displacement values in a height direction. A vision system processor operates on rows of imager pixels to determine a laser line center in columns of imager pixels in each of a plurality of regions of interest. Each region of interest defines a plurality of rows that correspond with expected locations of the projected line on the object surface. A GUI can be used to establish the regions. In further embodiments, the system generates grayscale images with the imager. These grayscale images can be compared to a generated height image to compensate for contrast-induced false height readings. Imager pixels can be compared to a reference voltage to locate the line.

System and method for efficient surface measurement using a laser displacement sensor

A method and apparatus for decoding codes applied to objects for use with a camera and a conveyor system wherein the camera includes an image sensor having a two dimensional field of view (FOV) and the conveyor system moves objects through the FOV such that objects enter the FOV along an entry edge and exit the FOV along an exit edge, the method comprising the steps of providing a processor programmed to perform the steps of obtaining images of the FOV, for each image identifying code candidates in at least portions of the image, ordering at least a subset of the code candidates for decoding in a candidate order wherein the candidate order is determined at least in part as a function of the first direction of travel through the FOV, attempting to decode code candidates in the order specified by the direction of travel and when a new image event occurs, foregoing attempts to decode at least a portion of the identified code candidates.

Method and apparatus for ordering code candidates in image for decoding attempts

An illumination assembly is provided for use with a light source and an illumination target. A first light collector can be disposed to receive and direct light from the light source. A first diffuser can be disposed at least partly between the first light collector and the illumination target. The first diffuser can be configured to diffuse at least part of the light directed by the first light collector to provide a first illumination pattern on the illumination target.

Illumination assembly

A handheld device and method using the device, the device comprising a sensor receiving light from within a field of view (FOV) to generate a plurality of consecutive images of the FOV, a structured light source that is controllable to generate a plurality of light patterns, the source arranged to project at least one light patterns into the FOV where at least a portion of a pattern reflects from an object and is captured by the sensor and a processor to receive images, the processor programmed to control the source to project a pattern into the FOV, locate the pattern in at least one of the generated images, locate discontinuities in the pattern and use the discontinuities to measure at least one dimension.

Handheld apparatus for quantifying component features

A method and apparatus for decoding codes applied to objects for use with a camera and a conveyor system wherein the camera includes an image sensor having a two dimensional field of view (FOV) and the conveyor system moves objects in a first direction of travel through the FOV such that objects enter the FOV along an entry edge and exit the FOV along an exit edge, the method comprising the steps of providing a processor programmed to perform the steps of obtaining images of the FOV, for each image identifying code candidates in at least portions of the image, ordering at least a subset of the code candidates for decoding in a candidate order wherein the candidate order is determined at least in part as a function of the first direction of travel through the FOV, attempting to decode code candidates in the order specified by the direction of travel and when a new image event occurs, foregoing attempts to decode at least a portion of the identified code candidates.

The disclosed apparatus, systems, and methods can process height maps. For example, the disclosed computerized method of determining posture information of an object in a two-dimensional height map captured by a range sensor system can include receiving the height map of the object captured by the range sensor system, generating a plurality of one-dimensional slices of the height map and a location record indicating locations of the plurality of one-dimensional slices on the height map, identifying points of interest in the plurality of one-dimensional slices, determining locations of the identified points of interest in the height map based on the location record, and determining the posture information of the object based on the locations of the identified points of interest in the height map.

Apparatus, systems, and methods for processing a height map

This invention provides a system and method for capturing, detecting and extracting features of an ID, such as a 1D barcode, that employs an efficient processing system based upon a CPU-controlled vision system on a chip (VSoC) architecture, which illustratively provides a linear array processor (LAP) constructed with a single instruction multiple data (SIMD) architecture in which each pixel of the rows of the pixel array are directed to individual processors in a similarly wide array. The pixel data are processed in a front end (FE) process that performs rough finding and tracking of regions of interest (ROIs) that potentially contain ID-like features. The ROI-finding process occurs in two parts so as to optimize the efficiency of the LAP in neighborhood operations&#x2014;a row-processing step that occurs during image pixel readout from the pixel array and an image-processing step that occurs typically after readout occurs. The relative motion of the ID-containing ROI with respect to the pixel array is tracked and predicted. An optional back end (BE) process employs the predicted ROI to perform feature-extraction after image capture. The feature extraction derives candidate ID features that are verified by a verification step that confirms the ID, creates a refined ROI, angle of orientation and feature set. These are transmitted to a decoding processor or other device.

System and method for capturing and detecting symbology features and parameters

A method and apparatus for decoding codes applied to objects for use with a camera and a conveyor system wherein the camera includes an image sensor having a two dimensional field of view (FOV), the method comprising the steps of providing a processor programmed to perform the steps of obtaining images of the FOV, for each image identifying code candidates in at least portions of the image, ordering at least a subset of the code candidates for decoding in a candidate order wherein the candidate order is determined at least in part as a function of a first direction of travel through the FOV, attempting to decode code candidates in the order specified by the direction of travel and when a new image event occurs, foregoing attempts to decode at least a portion of the identified code candidates.

A method and apparatus for use with a camera that includes a field of view (FOV), the apparatus for indicating at least a first portion of a field of view for analysis and comprising a light source for generating a first light pattern that is directed onto an object surface within the FOV while the light source remains stationary with respect to the object, an adjuster for, while the first light pattern subtends a surface of the object and without moving the light source with respect to the object, modifying the first light pattern to generate a first deformed light pattern that is directed onto the object surface in the FOV and a manual input device for controlling the adjuster to indicate how the first light pattern is to be modified.

Deformable light pattern for machine vision system

This invention provides a system and method for processing discrete image data within an overall set of acquired image data based upon a focus of attention within that image. The result of such processing is to operate upon a more limited subset of the overall image data to generate output values required by the vision system process. Such output value can be a decoded ID or other alphanumeric data. The system and method is performed in a vision system having two processor groups, along with a data memory that is smaller in capacity than the amount of image data to be read out from the sensor array. The first processor group is a plurality of SIMD processors and at least one general purpose processor, co-located on the same die with the data memory. A data reduction function operates within the same clock cycle as data-readout from the sensor to generate a reduced data set that is stored in the on-die data memory. At least a portion of the overall, unreduced image data is concurrently (in the same clock cycle) transferred to the second processor while the first processor transmits at least one region indicator with respect to the reduced data set to the second processor. The region indicator represents at least one focus of attention for the second processor to operate upon.

System and method for processing image data relative to a focus of attention within the overall image

This invention provides a vehicle-borne system and method for traffic sign recognition that provides greater accuracy and efficiency in the location and classification of various types of traffic signs by employing rotation and scale-invariant (RSI)-based geometric pattern-matching on candidate traffic signs acquired by a vehicle-mounted forward-looking camera and applying one or more discrimination processes to the recognized sign candidates from the pattern-matching process to increase or decrease the confidence of the recognition. These discrimination processes include discrimination based upon sign color versus model sign color arrangements, discrimination based upon the pose of the sign candidate versus vehicle location and/or changes in the pose between image frames, and/or discrimination of the sign candidate versus stored models of fascia characteristics. The sign candidates that pass with high confidence are classified based upon the associated model data and the drive/vehicle is informed of their presence. In an illustrative embodiment, a preprocess step converts a color image of the sign candidates into a grayscale image in which the contrast between sign colors is appropriate enhanced to assist the pattern-matching process.

System and method for traffic sign recognition

The present invention is directed to a system and method for tracking objects, such as customers in a retail environment. The invention is divided into two distinct software subsystems, the Customer Tracking system and the Track Analysis system. The Customer Tracking System tracks individuals through multiple cameras and reports various types of information regarding the tracking function, such as location by time and real world coordinates. The Track Analysis system converts individual tracks to reportable actions. Inputs to the Customer Tracking System are a set of analog or digital cameras that are positioned to view some physical environment. The output of the Customer Tracking System is a set of customer tracks that contain time and position information that describe the path that an individual took through the environment being monitored. The Track Analysis System reads the set of customer tracks produced by the tracking system and interprets the activities of individuals based on user defined regions of interest (ROI). Examples of a region of interest are: (1) a teller station in a bank branch, (2) a check-out lane in a retail store, (3) an aisle in a retail store, and the like.

Growing community of inventors

Hopkinton, MA, United States of America

Michael C Moed