Abstract: Provided are a surface inspection device that evaluates a shape of a molded product with high accuracy in a shorter time than in the related art, a shape correction device, a surface inspection method, and a shape correction method. A point measurement sensor 201 that measures each of positions of predetermined points 102 set on a surface of an inspection target 101; a surface measurement sensor 202 that measures a shape of a predetermined surface 103 including the plurality of predetermined points 102 by simultaneously measuring positions of a plurality of points of the inspection target 101; and a deformation amount computation unit 3 that obtains an amount of deformation of the inspection target 101 from a reference shape based on the positions of the predetermined points 102 measured by the point measurement sensor 201 and a normal direction of the predetermined surface 103 measured by the surface measurement sensor 202 are included.

Abstract: An aspect of the invention is a map generation system including a three-dimensional data acquisition unit configured to acquire three-dimensional data from a scanning distance measurement sensor measuring a distance to a target to be measured, an operation information acquisition unit configured to acquire operation information representing an operation of a work machine occurring in a cycle of update of the three-dimensional data by the scanning distance measurement sensor, a correction amount calculation unit configured to calculate a correction amount of each measurement point of the three-dimensional data based on the operation information, and a correction processing unit configured to apply the correction amount to each measurement point of the three-dimensional data to correct the three-dimensional data.

Abstract: A work robot sequentially holds multiple workpieces supplied to a supply area and moves the held workpieces to a work area. The work robot includes an image-capturing device configured to capture images of the multiple workpieces supplied to the supply area in random orientations and positions, an image processing device configured to recognize multiple workpiece regions from the images captured by the image-capturing device, obtain an area and a position of each of the recognized multiple workpiece regions, and obtain a distance between each workpiece region and the work area or the work robot, and a control device configured to determine a holding order of the workpiece based on the areas of the multiple workpiece regions and the distance between each workpiece region and the work area or the work robot as obtained by the image processing device.

Abstract: This disclosure relates generally to a system and method for monitoring performance of low-cost sensors plied in a field for soil moisture measurement. The low-cost sensors are calibrated to give useful derived parameters to support farming such as volumetric water content (VWC) of the soil. Further, the steps are being incorporated to de-noise their response to derive stable measurements similar to expensive rugged sensors. The calibration of the low-cost sensor and normalization of incoming values from the low-cost sensor are based on values determined through rugged sensors for soil moisture measurement. The normalization involves finding a minimum value and maximum value of soil moisture. Performance of the low-cost sensors are analyzed based on a range of values of the soil moisture. Finally, the performance analysis provides degradation stages and based on the degradation stages evaluated recommendations to modify the sensor are shared with the user.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: Data characterizing an image and/or a video of a predetermined region of a turbine engine is received. The turbine engine includes a blades configured to move relative to the predetermined region. A first blade of the blades is located in the predetermined region during a first time duration. Data characterizing inspection parameters from a turning tool device, including a motor and a motor controller, and turbine engine information are received. The motor controller is configured to rotate the plurality of blades of the turbine via the motor. The first blade is identified based on the inspection parameters including an initial configuration of the turning tool device and the first time duration, an annotated image and/or an annotated video is generated, at least a portion of the turbine engine information and the identity of the first blade is annotated onto the received image and/or the received video.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

Abstract: A method for identifying objects by shape in close proximity to other objects of different shapes obtains point cloud information of multiple objects. The objects are arranged in at least two trays and the trays are stacked. A depth image of the objects is obtained according to the point cloud information, and the depth image of the objects is separated and layered to obtain a layer information of all the objects. An object identification system also disclosed. Three-dimensional machine vision is utilized in identifying the objects, improving the accuracy of object identification, and enabling the mechanical arm to accurately grasp the required object.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

Abstract: An image data processing system is provided including: a discharge portion for discharging a content in a container onto a subject to form a sprayed symbol; a camera for capturing an image of a region including the sprayed symbol on the subject; and an image superimposition processing portion for performing an image superimposition process on the image using the sprayed symbol as a reference point. The camera may include a visible light camera for a visible light image and an infrared camera for capturing a thermal image of a subject.

Abstract: A system and method for autocalibration of the camera and lighting components of an inspection and cosmetic grading machine is provided. Camera and lighting assemblies capture images of an object and create a 2D composite image which is processed by an image processing module with a deep learning machine algorithm to detect surface defects in the object and may measure the depth associated with light intensity. Precisely calibrated lights and vision system are required. Over time, environmental factors and component vibration and movement dislocate the components causing both lighting and camera anomalies. Automated systems are proposed that allow automated calibration of these systems without human intervention.

Abstract: According to one embodiment, a reading system includes a calculator and a determiner. The calculator calculates a total value of luminances and fluctuation of the luminances in at least a portion of a second direction at each of a plurality of points in a first direction for at least a portion of an image subjected to a polar transformation. A meter is imaged in the image and includes a pointer, a display panel, and graduations. The pointer rotates around a rotation axis. The graduations are arranged along a circumferential direction around the rotation axis on the display panel. The polar transformation is referenced to a center of the meter. The first direction corresponds to the circumferential direction. The second direction corresponds to a diametrical direction from the center toward the graduations. The determiner uses the total value and the fluctuation to determine a position at which the pointer exists.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

Abstract: An image projection measuring apparatus includes a measurer, a storage, an image projection data generator, an image projector, and an image projection controller. The measurer is configured to measure a shape of a work by illuminating an outer surface of the work with a line laser from a laser emitter. The storage is configured to store measurement data acquired by the measurer. The image projection data generator is configured to generate image projection data from the measurement data. The image projector includes a camera and is configured to project the image projection data from the camera. The image projection controller is configured to cause the image projector to project the image projection data onto the outer surface of the work.

Abstract: Computer vision drilling systems and methods may be used with a drilling rig. The computer vision systems and methods may automatically monitor the drilling site and drilling operations, and may tally pipe in the drill string and monitor equipment for anomalous drilling conditions, and may automatically take corrective action as may be needed. The computer vision system may detect and identify one or more markings, such as symbols, letters, numbers, or other identifying features, on the pipe. Such features may be encoded on the pipe, such as by being etched or engraved or otherwise marked on the pipe, and may uniquely identify each pipe. The system can monitor and record the drilling conditions to which each pipe is exposed during drilling, which can be used to determine, among other things, whether and to what extent the pipe can be expected to have a useful life.

Abstract: Method and system are disclosed for characterizing and quantifying composite laminate structures. The method and system take a composite laminate of unknown ply stack composition and sequence and determine various information about the individual plies, such as ply stack, orientation, microstructure, and type. The method and system distinguishes between weave types that exhibit similar planar stiffness behaviors, but which produce different failure mechanisms. Individual ply information then is used to derive the laminate bulk properties from externally provided constitutive properties of the fiber and matrix, including extensional stiffness, bending-extension coupling stiffness, bending stiffness, and the like. The laminate bulk properties are then used to generate a probabilistic failure envelope for the composite laminate.

Abstract: The disclosure relates to a filter array and to a method for processing image data in a camera. The camera is configured to receive light and generate image data using an image sensor having an associated filter array. The image sensor includes an array of pixels, each of which corresponds to a filter element in the filter array, so that each pixel has a spectral response at least partly defined by a corresponding filter element. The filter array includes a pattern of wideband filter elements and at least two types of narrowband filter elements. The method includes the step of generating a luminance image comprising a wideband filter element value that is calculated for each pixel of the image sensor.

Abstract: An inspection processing system identifies a current position, obtains an inspection result of an inspection subject of a structure on the current position, and records the inspection result in association with the position of the inspection subject in a three-dimensional model of the structure. The inspection processing system further identifies a user who views the three-dimensional model and a current position, and outputs, to an output unit, an inspection result in which the user is recorded in an inspection information memory as a related person of the inspection subject. The inspection result is attached on a virtual image according to a three-dimensional model corresponding to the current position.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

Abstract: A system and method for detecting defects in a tubular structure installed in a wellbore extending into a subterranean formation. An input image of the tubular structure contains input data indicative of a characteristic of the tubular structure. A background image is determined based on the input image. The background image contains background data indicative of the characteristic of the tubular structure associated with manufacturing of the tubular structure. A defect image is determined based on a difference between the input image and the background image. The defect image contains defect data indicative of the characteristic of the tubular structure associated with defects in the tubular structure.

Abstract: A non-contact key tooth profile learning method and system are provided. The non-contact key tooth profile learning method comprises the following steps: acquiring first profile point cloud data of a key by means of a line laser method; and processing the first profile point cloud data so as to obtain first 3D profile information.

Abstract: A method and a device for processing product manufacturing messages, and an electronic device are disclosed. The method for processing product manufacturing messages includes: monitoring a plurality of product manufacturing messages; establishing a product defect analysis task queue based on the plurality of product manufacturing messages; distributing product defect analysis tasks to product manufacturing assisting devices based on the product defect analysis task queue, wherein the product defect analysis tasks include a task of identifying product defect content based on a defect identification model; wherein the product defect content includes any one or more of: product defect type, product defect location, and product defect size.

Abstract: Methods for detecting contaminants on optical fiber connectors incorporate statistically based routines that include processing of one or more digital images to dynamically determine fiber locations and boundaries, detect contamination in fiber locations, dynamically detect ferrule boundaries, detect contamination in ferrule locations, and collect resulting data. Sequential masking and detection permits detection of contaminants in a first region non-coincident with a first mask image, and in a second region non-coincident with a second mask image. Dynamic determination of locations and boundaries for structures such as fibers, ferrules, and pins or pinhole features address limitations associated with static determination of locations and boundaries for these structures. Specific routines or routines are provided for single- and multi-fiber connectors, including single fiber connectors having physical contact and angled physical contact polishes.

Abstract: Provided are an image processing device, an image processing method, and a program capable of forming an accurate three-dimensional map even in a case where a moving object is included in an input image. The image processing device includes an image acquiring section that sequentially acquires two-dimensional captured images, an object type recognition executing section that attaches, to each pixel in the sequentially acquired captured images, a label indicating the type of an object represented by the pixel, and a three-dimensional map creating section that executes three-dimensional position recognition of each pixel of the captured images to create a three-dimensional map, on the basis of the sequentially acquired captured images, and the three-dimensional map creating section restricts the three-dimensional position recognition of each pixel of the captured images according to the label attached to the pixel.

Abstract: A method visualizes manufacturing process information during manufacturing of workpieces with a flatbed machine tool. The workpieces are output as cut material on a pallet of the flatbed machine tool, a sorting table, or a conveyor belt. Workpiece image data is provided in a control system. The image data is associated with a workpiece and is for display on a display unit. Workpiece-specific manufacturing process information is provided in the manufacturing control system, and is acquired during manufacturing of the workpieces and includes features of cutting processes. A database of illustration options is provided in the manufacturing control system, the options are associated with a specific manufacturing feature and are applicable to the workpiece image data to cause an illustration of the respective workpiece image data on the display unit. The workpiece image data is displayed on the display unit, while taking into account illustration options in the workpiece-specific manner.

Abstract: A control device includes a first statistical processing unit a second statistical processing unit and a movement control unit. The first statistical processing unit acquires relative positions of the object calculated by the visual sensor and performs statistical processing on the acquired relative positions of the object. The second statistical processing unit acquires from the position sensor relative positions of the holding device corresponding to each of the relative positions of the object calculated by the visual sensor, and performs statistical processing on the acquired relative positions of the holding device. The movement control unit performs feedback control of the moving device based on the relative positions of the object and the relative positions of the holding, device and performs alignment of the object with the target position while moving the object closer to the target position.

Abstract: A control device is provided with a communication unit and a processing unit. The communication unit makes communication with a tool that is used for the work of fastening a fastener (for example, a screw) and with an image pickup unit for capturing an image of the work site where the work is being performed. The processing unit executes a determination process of determining whether or not the work is being performed normally on the basis of the fastening torque applied to the fastener by the tool and the image captured by the image pickup unit.

Abstract: The present invention relates to a method of producing a 3D centerline of an organ vessel from a plurality of 2D x-ray images. The method comprises the steps of producing a point-cloud of 3D points which represent intersecting and non-intersecting points between projection lines from the 2D images to their respective x-ray sources; fitting a compound curve to the points in the point-cloud of 3D points; removing outliers from the point-cloud; fitting a new compound curve to the remaining points in the point-cloud of 3D points; and repeating certain steps, wherein the resultant compound curve represents the 3D centerline of the organ vessel. The method minimizes reconstruction errors and produces an optimally-reconstructed 3D vessel skeleton.

Abstract: A location positioning device for a moving body acquires, via a communication device, a captured image from a camera in which an imaging direction has changed from a first direction to a second direction, the captured image including at least one marker disposed in space and at least one moving body that moves in the space, detects, based on the captured image and initial data, a change of the imaging direction from the first direction to the second direction, and acquires, based on the captured image, location data of the at least one moving body without returning the imaging direction of the camera in a real world to the first direction from the second direction.

Abstract: A framework for characterization of a collimator. In accordance with one aspect, first and second sides of the collimator are photographed to generate first and second image data. An optical characterization map (OCM) may be generated based on the first and second image data, wherein the optical characterization map characterizes the individual channels of the collimator. Quality assessment or image reconstruction may then be performed based on the OCM.

Abstract: A system and method of detecting an image of a template object in a captured image may include comparing, by a processor, an image model of an imaged template object to multiple locations, rotations, and scales in the captured image. The image model may be defined by multiple model base point sets derived from contours of the imaged template object, where each model base point set inclusive of a plurality of model base points that are positioned at corresponding locations associated with distinctive features of the imaged template object. Each corresponding model base point of the model base point sets may (i) be associated with respective layers and (ii) have an associated gradient vector. A determination may be made as to whether and where the image of the object described by the image model is located in the captured image.

Abstract: A card manufacturing system includes a locating device and a separation device. A laminate sheet comprising a plurality of cards is received by the locating device and is imaged using first and second imaging modalities. The first imaging modality identifies a location of each of the plurality of information carrying cards within the laminate sheet and the second imaging modality images at least one graphic formed on a surface of the laminate sheet. A position of the at least one graphic with respect to at least one information carrying card is determined and the plurality of cards are removed from the laminate sheet using information corresponding to the location of each of the plurality of information carrying cards when the position of the at least one graphic with respect to the information carrying cards is within a predetermined range.

Abstract: Image processing unit is provided in computer, and performs: for each of input images constituting a moving image obtained by capturing a workpiece during arc welding, a spatter detection step of detecting a spatter from an input image constituting a moving image of the workpiece, the moving image being generated by capturing the workpiece during the arc welding; a background bright spot identification step of identifying, as a background bright spot, a position in the moving image, the position being a position where a number of times of the detection in the spatter detection step is equal to or more than a predetermined reference number of times; and a spatter number identification step of identifying, for one input image, a number of spatters excluding spatters each corresponding to the background bright spot identified by the background bright spot identification step among the spatters detected by the spatter detection processing.

Abstract: The invention relates to a method for inspecting a part mounted in a manufacturing fixture between two manufacturing operations by means comprising: a sensor a robot to hold and move the sensor a computer comprising memory means, computation means and display means, comprising in its memory means a three-dimensional digital model of the workpiece, and able to record the coordinates of the points acquired by the sensor the method comprising the steps consisting of: segmenting (1010) of the CAD model into a set of surfaces, designated as nodes, each node corresponding to a surface that is visible in a single acquisition according to the characteristics of the sensor determining (1020) the visibility of each node from each position of the sensor relative to said node determining common visibilities (1030) between the nodes.

Abstract: A inspection method for a cylindrical honeycomb structure including a step of placing a cylindrical honeycomb structure made of ceramics on a rotation stage; a step of irradiating the side surface of the cylindrical honeycomb structure with light having a wavelength of 300 to 500 nm; a step of repeatedly capturing a reflected light from the side surface with a line sensor camera having a pixel resolution of 1 to 25 ?m/pix while the light is irradiated to the side surface and the cylindrical honeycomb structure is rotated around the axis of rotation, with a depth of field of the line sensor camera being adjusted to 0.5 to 5 mm; a step of generating an inspection image of the entire side surface; and a step of determining presence or absence of defects on the side surface based on the inspection image.

Abstract: A LIDAR sensor for an autonomous vehicle (AV) can include one or more lasers outputting one or more laser beams, one or more non-mechanical optical components to (i) receive the one or more laser beams, (ii) configure a field of view of the LIDAR sensor, and (iii) output modulated frequencies from the one or more laser beams, and one or more photodetectors to detect return signals based on the outputted modulated frequencies from the one or more laser beams.

Abstract: An end mill inspection device, which inspects an end mill having a blade part formed in a curved convex shape or an arc shape, includes: an imaging data acquisition unit that acquires imaging data obtained by capturing an image of a blade part of the end mill by an imaging unit; a contour extraction unit that extracts the contour of the blade part on the basis of the imaging data acquired by the imaging data acquisition unit; and a curvature radius calculation unit that calculates a curvature radius of the contour on the basis of the contour of the blade part extracted by the contour extraction unit.

Abstract: Positions of both end edges of a weld bead in a bead width direction are measured over the entire circumference of a liner in a circumferential direction of the liner. Based on information on the position of the end edge, bead profile information being information on a shape of the end edge of the weld bead over the entire circumference of the liner in the circumferential direction is created. Based on this bead profile information, machining information of the liner per rotation of the liner being position information of a cutting tool in the bead width direction per phase in the circumferential direction of the liner is created so that a moving locus of the cutting tool relative to the liner along the circumferential direction of the liner approximates the shape of the end edge of the weld bead over the entire circumference of the liner in the circumferential direction.

Abstract: A hybrid computer/human method for generating, validating and using a ground truth map (GTM) provides for enforcement of data capture and transmission compliance of real and near real time video. Computer-implemented processes are used to identify and classify as allowed or disallowed objects in a local scene based on attributes of a video session. A human interface is available to validate either the object identification or classification. The GTM is then used, preferably in conjunction with motion sense, to enforce data capture and transmission compliance of real and near real time video within the local scene.

Abstract: Embodiments of the present disclosure provide a method and a device for detecting defect of a meal box, a server, a device, and a storage medium. The method includes: receiving a detection request including an image of the meal box sent by a user terminal, the image of the meal box being obtained by an image acquirer of the user terminal; and performing defect recognition based on the image of the meal box and a defect detection model in response to the detection request.

Abstract: A system for tuning of axis control of a multi-axis machine and a method of operating the same are provided. The system includes a knowledge base for acquiring and maintaining factual knowledge associated with the tuning of the axis control. The factual knowledge has a uniform ontology a uniform data representation, and includes known input facts associated with known output facts. The system further includes an inference unit for automatically inferring new output facts associated with given new input facts in accordance with the factual knowledge.

Abstract: An assembly for acoustically influencing toothed wheels, including at least one first toothed wheel having teeth and one second toothed wheel having teeth, wherein the teeth have flanks, wherein at least one flank of a tooth of the first toothed wheel can be engaged with a flank of a tooth of the second toothed wheel, wherein at least one flank of a tooth of the first toothed wheel forms a contact zone or, in the ideal case, a contact line with an engaging flank of a tooth of a second toothed wheel, wherein the contact zone or the contact line is formed at an angle ?Aq, in particular between 5° and 85° or between 95° and 175°, in relation to an axis of an undulation, a microangle distribution, and/or a microangle periodicity of the engaging flank of the tooth of the second toothed wheel.

Abstract: A door access control system with a temperature detection function includes an infrared body temperature monitor device configured to detect a body temperature of a monitored object; a body temperature comparison device configured to compare a detected body temperature of the monitored object with a body temperature threshold; and a warning device configured to issue a warning message in response to the detected body temperature of the monitored object being higher than the body temperature threshold.

Abstract: A wear member monitoring system for a ground engaging tool, the system including: a measuring assembly having: an emitting device configured to emit a measurement signal towards a wear member of the ground engaging tool; a detecting device configured to detect a reflected measurement signal in response to the measurement signal emitted towards the wear member; and a processor configured to: analyse the reflected measurement signal with a two dimensional reference model; and determine a condition of the wear member based on the analysis of the reflected measurement signal with the two dimensional reference model.

Abstract: A method of inspecting an air data probe for damage or misalignment on a mounting surface includes retrieving reference data for the air data probe from a database, capturing images of the air data probe via a camera and generating dimensions from the captured images of the air data probe via a feature extractor. An alignment calculator analyzes the generated dimensions from the captured images of the air data probe and the reference data for the air data probe from the database to identify misalignment of the air data probe, and analyzes the generated dimensions from the captured images of the air data probe and the reference data for the air data probe from the database to identify damage of the air data probe. A maintenance recommendation for the air data probe is generated and outputted, based on the identified misalignment or damage of the air data probe.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: According to one embodiment, a reading support system includes a processing device. The processing device includes an extractor and a type determiner. The extractor extracts a plurality of regions from a candidate region. The candidate region is a candidate of a region in which a meter is imaged. The regions respectively include a plurality of characters of the meter. The type determiner determines a type of the meter based on positions of the regions.