Abstract: A mask inspection apparatus includes irradiation means for irradiating a sample with an electron beam, electron detection means for detecting a quantity of electrons generated from the sample having a pattern formed thereon by the irradiation with the electron beam, image processing means for generating image data of the pattern on the basis of the quantity of the electrons, and control means for creating a line profile and a differential profile of the pattern formed on the sample on the basis of the quantity of the electrons detected by the electron detection means. The control means detects a rising edge and a falling edge of the pattern on the basis of the differential profile, and then generates mask data of a multi-level structure on the basis of data of the edges and the image data created by the image processing means.

Abstract: A disclosed identification method of identifying a data point distribution area on a coordinate plane includes dividing an area on the coordinate plane into divided areas so that the divided areas radiate from a division center point; selecting, in each of the divided areas, from among the data points in the divided area, a data point having the greatest distance from the division center point as a representative point; determining whether there is an overlapping area where a distribution representative point area overlaps a determination area; and determining, when there is the overlapping area, that the data group to be determined is a relevant data group.

Abstract: A vision system useful in acquiring images includes: a light dome having a window and a perimeter; an annular light curtain positioned within and radially inwardly from the perimeter of the light dome such that an annular gap is formed between the light dome and the light curtain; and a light ring positioned to illuminate the gap between the light dome and the light curtain. The light curtain and window are sized and positioned such that no direct light from the light ring reaches the window. The system further comprises a camera having a lens facing the window to acquire images of an object on a side of the window opposite the camera. The images acquired by the camera can then be compared to stored images to determine whether the identity of the objects (which may be pharmaceutical tablets) is as expected.

Abstract: A method and application provide a universal key code for use when a key is lost. The code can be taken to a locksmith or retailer for duplication. The user can obtain a digital image of their key and a software application can extract unique key geometries from the key, via, for example, edge detection technology and/or other mathematical methods, digital image processing methods and standard image processing methods. A key code can be determined from this extracted information and mapped to a known key code database. The software application can output, from a digital image of an original key, the key blank and key cut code to allow a consumer to simply and conveniently obtain a duplicate key.

Abstract: A method and application provide a universal key code for use when a key is lost. The code can be taken to a locksmith or retailer for duplication. The user can take a picture of their key and a software application can extract unique key geometries from the key, via, for example, edge detection technology and/or other mathematical methods, digital image processing methods and standard image processing methods. A key code can be determined from this extracted information and mapped to a known key code database. The software application can output, from a picture of an original key, the key blank and key cut code to allow a consumer to simply and conveniently obtain a duplicate key.

Abstract: Methods and systems for descriptor guided fast marching method based image analysis and associated systems are disclosed. A representative image processing method includes processing an image of a microelectronic device using a fast marching algorithm to obtain arrival time information for the image. The arrival time information is analyzed using a targeted feature descriptor to identify targeted features. The detection of defects is facilitated by segmenting the image. The segmented image can be analyzed to identify targeted features which are then labeled for inspection.

Abstract: A robot system includes a robot having a movable section, an image capture unit provided on the movable section, an output unit that allows the image capture unit to capture a target object and a reference mark and outputs a captured image in which the reference mark is imaged as a locus image, an extraction unit that extracts the locus image from the captured image, an image acquisition unit that performs image transformation on the basis of the extracted locus image by using the point spread function so as to acquire an image after the transformation from the captured image, a computation unit that computes a position of the target object on the basis of the acquired image, and a control unit that controls the robot so as to move the movable section toward the target object in accordance with the computed position.

Abstract: In a method for closely monitoring a state of a lamp using an electronic device, a plurality of images of the lamp are captured by an image capturing unit of the lamp and a specified number of captured images are sampled. A luminance value of each of the sampled images is calculated to determine a state of the lamp, the possible states of the lamp including a normal state and an abnormal state. The lamp is marked or indicated accordingly on a monitoring interface when the lamp is in the abnormal state.

Abstract: A component presence/absence judging apparatus judges the presence/absence of components through a registration step and an inspection step. The registration step includes an ante-mounting feature acquisition step, a post-mounting feature acquisition step and a classifier configuration step. At the ante-mounting and post-mounting feature acquisition steps, ante-mounting features and post-mounting features are respectively acquired from an ante-mounting image and a post-mounting image taken at each of predetermined places on an ante-mounting board and a post-mounting board. At the classifier configuration step, a classifier is configured by registering the ante-mounting features and the post-mounting features as training data to a support vector machine.

Abstract: A computer-implemented method for use in machine vision systems is provided. The method can include receiving a source image and segmenting the source image into one or more segments. The method can further include receiving a selection of a first segment of the one or more segments associated with the source image and generating a first mask image, based upon, at least in part, the first segment. The method can also include determining at least one attribute associated with the first segment and normalizing a masked area of a runtime image using, at least in part, the at least one attribute.

Abstract: A method for analyzing quality of a glazing including: generating at least one digital image of a test chart produced in reflection by an external surface of the glazing on an outside of the glazing; computation by at least one processing unit of quantities representative of the quality of the glazing based on the at least one image generated; and comparing values computed for the representative quantities with respect to reference values. The test chart exhibits a pattern including elements of closed contours arranged periodically. The representative quantities are representative of a deformation of the image of the test chart produced in reflection by the external surface of the glazing on the outside of the glazing, and the computation of a representative quantity includes the computation of a density of the elements.

Abstract: The electronic device mounting apparatus 1 comprises: a first camera 123 for imaging a flexible board 74 of a base member 70 of a test carrier 60 to generate a first image information; an image processing apparatus 40 for detecting a position of an alignment mark 79 of the flexible board 74 from the first image information and calculating a print start position 782 of the first interconnect patterns 78 on the flexible board 74 on the basis of the position of the alignment mark 79; a printing head 122 for forming a first interconnect pattern 78 on the flexible board 74 from the print start position 782; and a second conveyor arm 21 for mounting a die 90 on the flexible board 74 on which the first interconnect pattern 78 is formed.

Abstract: A disclosed method of identifying a data point distribution area having data points on a coordinate plane includes dividing a coordinate plane area into plural divided areas using lines; in each divided area, selecting outermost data point data as representative points, and connecting the selected representative points to define a distribution area; comparing the area with a reference area to determine an overlapping area; and determining that the distribution area is a relevant area based on the existence of the overlapping area.

Abstract: In one aspect, a method to reduce false alarms in identifying whether a candidate image is from an object class includes projecting the candidate image onto an object class subspace and projecting the candidate image onto a non-object class subspace. The method also includes determining whether the candidate image is from the object class using a Bayesian decision function based on the projections on the object class subspace and the non-object class subspace. In another aspect, a method to reduce false alarms in identifying whether a candidate mine image is from a mine class includes projecting the candidate mine image onto a mine subspace and projecting the candidate mine image onto a non-mine subspace. The method also includes determining whether the candidate mine image represents a mine using a Bayesian decision function based on the projections on the mine class subspace and the non-mine class subspace.

Abstract: A method and apparatus for measuring size distribution of bulk matter consisted of randomly orientated granules, such as wood chips, make use of scanning the exposed surface of the granular matter to generate three-dimensional profile image data defined with respect to a three-coordinate reference system, The image data is segmented to reveal regions associated with distinct granules, and values of the size-related parameter for the revealed regions are estimated. Then, a geometric correction to each ones of estimated size-related parameter values is applied, to compensate for the random orientation of corresponding distinct granules. Finally, the size distribution of bulk matter is statistically estimated from the corrected size-related parameter values.

Abstract: A fusion splicer includes an imaging unit configured to take a lateral transmission image by illuminating a target optical fiber from a lateral direction of the target optical fiber; a determination module configured to create a target luminance distribution in a direction perpendicular to an optical axis of the target optical fiber using the lateral transmission image so as to determine a type of the target optical fiber, by comparing the target luminance distribution with preliminarily registered data of a reference luminance distribution of a reference optical fiber; and a registration module configured to create a message when the target luminance distribution is determined to be outside a tolerance of the reference luminance distribution and to display the message to an operator so that the operator can decide whether or not to register the target luminance distribution of the target optical fiber as a new reference luminance distribution.

Abstract: A three-dimensional printer includes a laser line scanner and hardware to rotate the scanner relative to an object on a build platform. In this configuration, three-dimensional surface data can be obtained from the object, e.g., for use as an input to subsequent processing steps such as the generation of tool instructions to fabricate a three-dimensional copy of the object, or various surfaces thereof.

Abstract: A key identification system is provided. The key identification system comprises an imaging system to capture an image of a master key, and a logic to analyze the captured image. The imaging system may be capture an image of a groove in the master key from an angle between perpendicular and parallel to the blade of said master key. The logic analyzes the captured image to compare characteristics of the groove with groove characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank. The key identification system may further compensate for displacement or orientation of the master key with respect to the imaging system when analyzing characteristics of the groove.

Abstract: A method executed by a computer system for detecting edges comprises receiving an image comprising a plurality of pixels, determining a phase congruency value for a pixel, where the phase congruency value comprises a plurality of phase congruency components, and determining if the phase congruency value satisfies a phase congruency criteria. If the phase congruency value satisfies the phase congruency criteria, the computer system categorizes the pixel as an edge pixel. If the phase congruency value does not satisfy the phase congruency criteria, the computer system compares a first phase congruency component of the plurality of phase congruency components to a phase congruency component criteria. If the first phase congruency component satisfies the phase congruency component criteria, the computer system categorizes the pixel as an edge pixel, and if the first phase congruency component does not satisfy the phase congruency component criteria, categorizes the pixel as a non-edge pixel.

Abstract: A method of detecting optical defects in a transparency may comprise the steps of providing a digital image of the transparency having a plurality of image pixels and detecting at least one candidate defect. The candidate defect may be detected by determining a grayscale intensity of each one of the image pixels and calculating an intensity gradient across adjacent pairs of the image pixels. Each image pixel may be assigned a gradient value comprising a maximum of the absolute value of the intensity gradients associated with the image pixel. A gradient image may be constructed comprising the gradient values assigned to corresponding ones of the image pixels. Image pixels may be identified as candidate pixels if such image pixels have a gradient value exceeding a gradient threshold. The candidate pixels may comprise the optical defect.

Abstract: A system and method for receiving an image of a product's packaging and extracting information (e.g., a set of facts) associated with a product from the image. The extracted information associated with the product may be stored in an attribute data store and used to populate an online catalog. In addition, one or more labels (e.g., certification logos or identifiers) may be extracted from the image and added to the attribute data store.

Abstract: A product identification service uses image analysis and user interaction. The product identification service includes functionality to compare a first portion of a retail product image to a plurality of candidate retail product images. The retail product image includes a pictorial likeness of a plurality of manufactured retail products. The first portion of the retail product image corresponds to a first retail product. The product identification service also includes functionality to generate a candidate product set comprising candidate retail product images satisfying image comparison criteria. Each candidate retail product image is representative of a retail product having a plurality of product characteristics. The product identification service also includes functionality to determine, based on at least one candidate retail product image in the candidate product set, one or more product identity queries configured to solicit additional product identity information from a user.

Abstract: A system and technique for visual indicator status recognition includes an imaging system configured to capture a first optical data of an indicator, the imaging system configured to verify indicator code indicia is derivable from the first optical data. Responsive to verifying that the indicator code indicia is derivable from the first optical data, the imaging system is configured to capture a second optical data of the indicator. The system and technique also includes a detection module executable by a processing unit to analyze the second optical data and derive status information of the indicator.

Abstract: A device is provided having a robotic arm for handling a wafer, the robotic arm including one or more encoders that provide encoder data identifying a position of one or more components of the robotic arm. The device also having a processor adapted to apply an extended Kalman Filter to the encoder data to estimate a position of the wafer.

Abstract: A key identification system is provided. The key identification system comprises a sensing device configured to extract bitting information from a master key, and a logic configured to analyze the image. The sensing device may be configured to capture information about the bittings of the master key, such as an image of the bittings. The logic analyzes information about the bittings of the master key and compares it with bitting characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank.

Abstract: A difference processing circuit receives input of welding images taken by a CCD camera in real time and then differentiates power monitoring images recorded in a memory from welding images to obtain difference processing reflected light images. Due to the difference processing performed by a difference processing circuit, foreign matter images included in welding images and power monitoring images are eliminated and the difference processing reflected light images that are obtained do not include any foreign matter images. A quality judgment device uses the difference processing reflected light images obtained by a difference processing circuit and conducts a quality judgment. As described above, since difference processing reflected light images do not include any foreign matter images, a quality judgment device does not receive any influence from the foreign matter that is adhered to the protective glass and can conduct an excellent evaluation of the welding quality.

Abstract: 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.

Abstract: A method outputs measurement data automatically using an electronic device. The method obtains measurement data of feature elements from a two dimensional (2D) image of a measured object, determines a type of measurement applied to each feature element, obtains feature elements from planes of a three dimensional (3D) image of the measured object, and maps each of the obtained feature elements in the 3D image to the 2D image. The method further obtains sequential marked numbers from the 2D image, determines a feature element which is nearest to any marked number from the mapped feature elements, determines an output axis for each of the determined feature elements, and outputs measured results and measurement codes of the determined feature elements by reference to the measurement data, the type of measurement and the output axis of each determined feature element.

Abstract: A system, and methods of operation thereof, is presented that permits determination of a defect in an inspection subject by means of processing an image of said inspection subject, which system avoids exhaustion of bandwidth in a communication line connected to the image processing unit. The system includes a unit to receive an image, a transmission queue and a buffer to store the image, an image processing unit to determine whether the image includes a defect image, a unit that generates defect information when the presence of a defect image is determined, an image extraction unit that extracts the defect image based on the defect information, and a storage unit for storing such defect image.

Abstract: Carbon nanostructure growth on a substrate can be evaluated by visual imaging techniques. Methods for imaging carbon nanostructures on a substrate can include providing a plurality of carbon nanostructures infused to a substrate; acquiring an image of the plurality of carbon nanostructures while they are infused to the substrate; converting the image of the plurality of carbon nanostructures into a binary image, the binary image comprising a carbon nanostructure/substrate portion and an extraneous portion; and correlating the carbon nanostructure/substrate portion of the binary image with an amount of carbon nanostructures infused to the substrate. An illustrative substrate can be one or more fibers onto which carbon nanostructures are infused.

Abstract: A method, system, and computer program product for automatically inspecting railroad tracks. The method includes assessing a configuration of rail components depicted in an image by comparing the configuration of the rail components to known hazards. The method also includes determining a severity of detected problems in the configuration of the rail components, using a computer processor.

Abstract: A dispensing system with an electronic keying mechanism, the dispenser including a housing and a refill unit. The refill unit includes a product reservoir, a pump mechanism and a collar adapted to secure the refill unit within the housing. An infrared sensor is provided in the housing and includes an infrared radiation source and a detector. A taggant is dispersed within at least a portion of the collar, the taggant being detectable by the detector when exposed to infrared radiation.

Abstract: A method of tracking and tracing tablets, in particular pharmaceutical tablets, includes reading, i.e. detecting, code structure from the tablet, reading additional information from the package on an information sheet, and then comparing the readings to verify authenticity. The code structure may be two-dimensional or three-dimensional. The detected code may further be compared with information stored in a database.

Abstract: A visual inspection method and apparatus detecting a defect with the use of a detected signal obtained by illuminating one of a light and an electron beam onto a substrate to be inspected. The visual inspection method and apparatus includes calculation of an image feature based on an image of the detected defect, calculation of a coordinate feature based on position information of the detected defect, and outputting of real defect information by performing false alarm judgment by processing with respect to one of the image feature and the coordinate feature.

Abstract: The present invention provides a model image acquisition support apparatus, a model image acquisition support method, and a model image acquisition support program that can easily and swiftly obtain an optimum model image for an image processing apparatus that performs matching processing based on a model image set in advance with respect to a measurement image that is obtained by imaging an object. A plurality of model image candidates, serving as candidates for model image, are extracted from a reference image obtained by imaging an object which can be a model. Matching processing with the plurality of extracted model images is executed on measurement images actually obtained by a visual sensor, so that trial results are obtained. A trial result is generated upon evaluating each of the trial results of the matching processing with the model image. An optimum model image is determined based on the evaluation result.

Abstract: A system for determining at least one characteristic of wood furnish from an upstream source. The system includes: an inclined panel comprising a transparent window having a top surface for the wood furnish to slide down; a lighting means adjacent the transparent window for lighting the wood furnish visible through a bottom surface of the window; an image capturing means adjacent the transparent window for capturing an image of the wood furnish visible through the bottom surface of the window; and a processing means in communication with the image capturing means for deriving from the captured images the at least one characteristic of the wood furnish.

Abstract: An apparatus for the detection of a geometrical position of plastics material containers, for example, plastics material pre-forms, having a base member and a thread region may include an image-recording device, which records a locally resolved image of the plastics material container. The image-recording device is arranged in such a way that it observes the plastics material container substantially along its longitudinal direction. The apparatus includes an illumination device, which illuminates at least one region of the plastics material container observed by the image-recording device, and an evaluation device, which on the basis of an image recorded by the image-recording device determines a rotary setting of the plastics material container with respect to its longitudinal direction.

Abstract: A surface state inspection apparatus has a lighting device that irradiates an inspection target placed on a stage with light, an imaging device that images the inspection target, and a detection device that detects a surface defect of the inspection target by analyzing a first inspection image obtained by the imaging device. The lighting device is a surface light source that includes a light emission region having a predetermined size and, in the lighting device, portions of light emitted from positions in the light emission region differ from each other in a spectral distribution. The detection device detects a portion in which a hue is different from that of its surrounding portion in the inspection target surface as a flaw. The detection device detects a portion in which the hue is substantially equal to that of its surrounding portion while brightness is different from that of its surrounding portion as a stain.

Abstract: An ophthalmic lens scanner includes an inspection platform configured to receive an ophthalmic lens thereon. A camera is spaced apart from the inspection platform and is arranged to, in response to an activation signal, capture an image of the ophthalmic lens. A light source is spaced apart from the inspection platform and is configured to emit light when the camera is activated to capture an image of the ophthalmic lens. The inspection platform is located between the camera and the light source. A first Fresnel lens is located between the inspection platform and the camera. A second Fresnel lens is located between the inspection platform and the light source. The ophthalmic lens scanner may be incorporated in an ophthalmic lens scanner system that includes a computing device and a display device.

Abstract: A system and method for high-speed alignment of components is provided. During training time of a machine vision system, a small subset of alignment significant blobs along with a quantum of geometric analysis for picking granularity is determined. By utilizing only the alignment significant blobs and the geometric analysis, the use of conventional alignment techniques may achieve significantly better speed and robustness for component alignment. In operation, during training time, grayscale blobs are extracted using a scale space search. Alignment significant blobs are then determined from the grayscale blobs. Once alignment significant blobs are determined, run time smoothing and down sampling are then determined on the alignment significant blobs. The machine vision system is then trained to operate with the alignment significant regions.

Abstract: A method includes obtaining multiple images of a sheet of material. The images contain a first line projected onto a first side of the sheet and a second line projected onto a second side of the sheet. The images include (i) at least one first image containing the first line reflected off the first side of the sheet and the second line transmitted through the sheet and (ii) at least one second image containing the second line reflected off the second side of the sheet and the first line transmitted through the sheet. The method also includes identifying at least one point of intersection in the images where the lines intersect on the sheet. The method further includes identifying a caliper of the sheet using the at least one point of intersection.

Abstract: A schematic diagram detailing a circuit that was reverse engineered from a plurality of images taken of the circuit is provided. The schematic diagram includes at least one circuit element that was represented as an object in at least one of the plurality of images, such that signal continuity information was determined through local tracing of connectivity between a first image and a second image of the plurality of images. A method of tracing the connectivity within the plurality of images to produce the schematic diagram is also disclosed.

Abstract: A method and apparatus for obtaining an image and providing one or more document files to a user. The method may include capturing an image of a target object using an imaging device of an electronic device, analyzing the image to identify a plurality of features and feature locations on the target object with a processor using an image recognition application, accessing a model database to identify an appliance model having features and feature locations that match the identified features and feature locations from the image, retrieving one or more document files that correspond to the identified model from a file database, and providing the one or more document files to a user.

Abstract: A non-contact measurement apparatus and method. A probe is provided for mounting on a coordinate positioning apparatus, comprising at least one imaging device for capturing an image of an object to be measured. Also provided is an image analyzer configured to analyze at least one first image of an object obtained by the probe from a first perspective and at least one second image of the object obtained by the probe from a second perspective so as to identify at least one target feature on the object to be measured. The image analyzer is further configured to obtain topographical data regarding a surface of the object via analysis of an image, obtained by the probe, of the object on which an optical pattern is projected.

Abstract: A cigarette inspection device for inspecting a filter quality through an inspection image of filter end faces in a bundle of cigarettes for accurately detecting, for example, only contaminations. A pattern image is used for detecting a cigarette location on the basis of a preset location of each cigarette in the cigarette bundle and a search area on the inspection image is set. The pattern image is shifted within the search area, thereby obtaining a position at which the pattern image coincides with an image of the filter end face. An image of a filter end face of the cigarette is cut out from the inspection image according to the detected position, and quality (contamination) is inspected. Inspection results obtained with respect to the cigarettes are aggregated, and a judgment is made on the quality (presence or absence of a contamination) of the filter end face.

Abstract: The invention relates to a method for the surface inspection of strip pieces (120). The invention further relates to a device for carrying out the method. The method according to the invention comprises the following steps: cutting off the strip pieces (120) from a metal strip (210), wherein the strip pieces (120) comprise a length less than twice the circumference of a work roll (230) by means of which the metal strip (210) has previously been rolled; automatically checking the upper and/or lower side of the cut-off strip pieces (120) with the aid of a camera system (150) and an analysis unit (300) in regard to any periodic types of faults that may be present and caused by the work roll; ending the surface inspection process if periodically occurring types of faults are detected, or; feeding the cut-off strip pieces (120) to a strip inspection unit (140) for checking by means of inspection personnel for non-periodic types of faults if no periodic types of faults had previously been detected.

Abstract: A system is described for detecting the presence of non-uniformity patterns and providing output indicative of a severity of each type of non-uniformity pattern. The system includes a computerized rating tool that assists a user in efficiently and consistently assigning expert ratings (i.e., labels) to a large collection of training images representing samples of a given product. In addition, the rating software develops a model that allows a computerized inspection system to detect the presence of non-uniformity patterns in a manufactured web material in real time and provide output indicative of a severity level of each pattern on a continuous scale. The system also includes algorithmic and hardware approaches to significantly that increase the throughput of the inspection system.

Abstract: A computer-implemented method for measuring full field deformation characteristics of a deformable body. The method includes determining optical setup design parameters for measuring displacement and strain fields, and generating and applying a dot pattern on a planar side of a deformable body. A sequence of images of the dot pattern is acquired before and after deformation of the body. Irregular objects are eliminated from the images based on dot light intensity threshold and the object area or another geometrical cutoff criterion. The characteristic points of the dots are determined, and the characteristic points are matched between two or more of the sequential images. The displacement vector of the characteristic points is found, and mesh free or other techniques are used to estimate the full field displacement based on the displacement vector of the characteristic points. Strain tensor or other displacement-derived quantities can also be estimated using mesh-free or other analysis techniques.

Abstract: A plurality of first multivalued images of non-defective items picked up by an image pickup device are obtained, and a plurality of characteristic amounts at least including a pixel value of a color component and edge intensities in two different directions are extracted for each pixel in the obtained first multivalued images. Selection of any one of the plurality of extracted characteristic amounts is received, and the characteristic amount of which selection is received is extracted, whereby a distribution range for determining the non-defective item is calculated. A second multivalued image of a determination target object is obtained, and the characteristic amount of which selection is received is extracted for each pixel in the obtained second multivalued image, whereby determination is made as to whether the characteristic amount is included in the distribution range corresponding to the extracted characteristic amount.

Abstract: A method of reading a gauge may include capturing a digital image of the gauge with a gauge reading device attached to the gauge, the digital image comprising a plurality of pixels; determining an angle of a gauge feature based on positions of predetermined pixels of the digital image; and converting the angle into a gauge reading. Gauge reader devices and network based systems are also disclosed.