Abstract: Example systems and methods for interacting with overlapping regions of interest (ROIs) in machine vision applications are disclosed. An example system includes a machine vision camera, and a client computing device coupled to the machine vision camera. The client computing device configured to: receive an image from the machine vision camera; present the image on a canvas, wherein the canvas is part of a first user interface of a machine vision application displayed on the client computing device; present a first ROI associated with a first machine vision tool on the canvas; present a second ROI associated with a second machine vision tool on the canvas; and target the first ROI or the second ROI as a targeted ROI for interaction based upon distances from a pointer displayed on the canvas to features of the first ROI and the second ROI.

Abstract: An apparatus for predicting performance of a wheel in a vehicle: includes a learning device that generates a latent space for a plurality of two-dimensional (2D) wheel images based on a convolutional autoencoder (CAE), extracts a predetermined number of the plurality of 2D wheel images from the latent space, and learns a dataset having the plurality of 2D wheel images and performance values corresponding to the plurality of 2D wheel images; and a controller that predicts performance for the plurality of 2D wheel images based on a performance prediction model obtained by the learning device.

Abstract: A video processing pipeline receives data derived from a feed of images of a plurality of objects passing in front of an inspection camera module forming part of a quality assurance inspection system. Quality assurance metrics for the object are generated by one or more containerized image analysis inspection tools forming part of the video processing pipeline using the received data for each object. Overlay images are later generated that characterize the quality assurance metrics. These overlay images are combined with the corresponding image of the object to generate an enhanced image of each of the objects. These enhanced images are provided to a consuming application or process for quality assurance analysis.

Abstract: Methods of allowing a customer to access information related to an order of a commodity include gathering inspection information from a commodity lot, collecting grower, field, and packing information associated with the commodity lot, recording purchase orders associated with the commodity lot, assigning a trace code to each of the purchase orders, entering the inspection information; the grower, field, and packing information; the purchase orders; and the trace codes into a database maintained through online accounts. Many members of a supply chain are entitled to accounts that are linked, each account being given limited access to other accounts, thereby allowing the customer to access the inspection information, and the grower, field, and packing information, by entering one of the trace codes into the web-based application. According to one exemplary embodiment, each of the purchase orders associated with the commodity lot is linked within the web-based application.

Abstract: Embodiments of this application provide a measurement method and a measurement apparatus. The measurement method includes: acquiring a first image and a second image of a target object, where the first image is acquired by a camera located on a non-backlight side of the target object, and the second image is acquired by a camera located on a backlight side of target object; and measuring the target object for size information according to the first image and the second image. The technical solution of this application can improve accuracy and precision of inspection while improving production efficiency.

Abstract: The present application provides a method of preventing thin film transistor (TFT) from electrostatic discharge (ESD) damaging, a method of manufacturing a TFT, and a display panel. By fitting a test data, acquiring relationships between an anti-ESD capability of the TFT and manufacturing parameters of each film layer, according to above-mentioned relationships, disposing the manufacturing parameters of each film layer of the TFT, to prevent the TFT from ESD damaging.

Abstract: In an approach to non-destructive inspection of IC devices, one or more images of a Device Under Test (DUT) are received from one or more imaging devices. Observed features are detected in the one or more images and producing a first synthetic representation of a part design of the DUT that includes the observed features. The presence of one or more first unobserved features are inferred, where the one or more first unobserved features are inferred using a mapping and inference model (MIM). The one or more first unobserved features are added to the first synthetic representation of the part design of the DUT.

Abstract: Systems, devices, and methods of protecting electronic or Internet-connected devices against fraudulent and malicious activities. A Data Collector and Mediator Unit monitors network traffic, and generates datasets of network traffic; each dataset includes network traffic monitored within a time-slot having a particular fixed time-length. A Predictor Unit includes a Features Extractor, to extract features from the datasets; and a Machine Learning (ML) unit, to run the extracted features through a ML model and to classify a particular traffic-portion as being either (I) an anomalous traffic-portion that is associated with fraudulent or malicious activity, or (II) a non-anomalous traffic-portion that is not-associated with fraudulent or malicious activity. The ML unit operates on both (i) anomalies in traffic patterns, and (ii) anomalies of user behavior and/or device behavior.

Abstract: There are provided a system and a method of automatic tire inspection, the method comprising: obtaining at least one image capturing a wheel of a vehicle; segmenting the at least one image into image segments including a tire image segment corresponding to a tire of the wheel; straightening the tire image segment from a curved shape to a straight shape, giving rise to a straight tire segment; identifying text marked on the tire from the straight tire segment, comprising: detecting locations of a plurality of text portions on the straight tire segment, and recognizing text content for each of the text portions; and analyzing the recognized text content based on one or more predefined rules indicative of association between text content of different text portions at given relative locations, giving rise to a text analysis result indicative of condition of the tire.

Abstract: A computer system is structured to determine a density of particulate matter in a diesel particulate filter (DPF) sample. The computer system includes a processing circuit having a processor and a memory. The processing circuit is structured to generate a computed tomography (CT) scan-based image of the DPF sample; and, segment the CT scan-based image of the DPF sample into a plurality of regions. For at least one region from the plurality of regions, the processing circuit is structured to determine a density of a portion of the DPF sample corresponding to the at least one region of the CT scan-based image of the DPF sample and cause an electronic display of a user device to display the CT scan-based image including the at least one region and an indication of the density for the at least one region.

Abstract: The disclosure provides a wafer detection method, device, apparatus, and a storage medium. The method includes: an original wafer picture to be detected is received; picture segmentation is performed on the original wafer picture to acquire a plurality of first pictures; picture zooming is performed on the original wafer picture and the first pictures to respectively acquire a second picture and a plurality of third pictures, the second picture and the third pictures meet an input size requirement of the wafer detection model to an input picture; the second picture and the third pictures are sequentially input into a wafer detection model to acquire a first detection result corresponding to the second picture and a second detection result corresponding to each third picture; and a total detection result of the original wafer picture is determined according to the first detection result and the second detection results.

Abstract: An inspection method for determining a presence of a defect on a sides surface of a pillar-shaped honeycomb structure including generating strip-shaped images by repeatedly capturing the side surface part by part with an area camera while relatively moving the area camera with respect to the pillar-shaped honeycomb structure; determining the presence or absence of defects based on the strip-shaped images when a number of the strip-shaped images generated is sufficient to cover the entire side surface; a shutter speed when the area camera captures a part of the side surface for generating a single strip-shaped image is 10 to 1000 ?sec; and each of the strip-shaped images has a length covering the entire height of the pillar-shaped honeycomb structure in a longitudinal direction, and a length of 1 to 10 mm in a width direction.

Abstract: A system can host APIs for a plurality of different tenants and receive requests from many different client devices. As requests are received, an associated tenant can be identified, and a router can determine if a container instance is available to service the request. A container instance may be an empty container instance including an internal endpoint, a Web server, and a runtime environment. An empty container instance can be unassociated with a particular tenant. To associate a container instance with a tenant, a data store, such as a key-value data store can retrieve configuration files that turn the agnostic container instance into a container instance that is associated with particular tenant and includes configuration code to perform the requisite API functions. The pool of empty and populated containers can be managed efficiently.

Abstract: The present disclosure discloses an Internet of Things (IoT) system for industrial data processing, a control method, and a storage medium, and provides a technical solution for a timely adjustment of production line parameters according to image information generated during a machine vision data collection on the production line. Through a difference of the image information corresponding to different process operations, a processing situation of different process operations may be obtained, so that more accurate adjustment of the production line parameter may be achieved without increasing the system complexity, thereby effectively reducing a development cost of the IoT, and increasing accuracy of the intelligent manufacturing control.

Abstract: A method is disclosed that includes receiving, by a processing device, a plurality of images of a test assembly. The processing device selects a component in the test assembly and an image of the plurality of images of the test assembly as received. For the component as selected and the image as selected, the processing device compares a plurality of portions of the image as selected to a corresponding plurality of portions of a corresponding profile image and computing a matching score for each of the plurality of portions. The processing device selects a largest matching score from the matching score for each of the plurality of portions as a first matching score for the component as selected and the image as selected. The first matching score is stored for the component as selected and the image as selected.

Abstract: The methods provide for detecting at least one operational parameter of a functional unit of the plant and calculating a current value of at least a first statistical function of the operational parameter in a current temporal window, the current value of the first statistical function defining a first coordinate of a point of current operation of the functional unit. A step is also provided of verifying whether the point of current operation is within a range of allowable values of the first statistical function, the values contained in the range of allowable values corresponding to a correct operation of the functional unit. In case the point of current operation is outside the range of allowable values, the position is determined of the point of current operation with respect to the range of allowable values and a statistical diagnosis is provided of the cause of the deviation of the current value from the range of allowable values based on the position.

Abstract: Three-dimensional object bridge between virtual and physical worlds. A method, system, apparatus and/or computer-usable medium includes steps of selecting a three-dimensional item in a first state for subsequent rendering into a second state and rendering the three-dimensional item in the second state via the three-dimensional rendering apparatus. An additional step of locating a three-dimensional rendering apparatus for rendering the three-dimensional item in a second state can be included. The three-dimensional rendering apparatus can be configured as a kiosk (manned or unmanned), Internet-enabled vending machine, and the like. The first state can comprise a virtual state and the second state can comprise a physical state. Likewise, the first state can comprise a physical state and the second state can comprise a virtual state. Additionally, the three-dimensional item/object can be mapped in the first state for rendering in the second state.

Abstract: Disclosed are computer systems and computer-implemented methods for rapid diagnostic test result interpretation platform employing computer vision. The system can visually analyze the test device in real-time by receiving image streams of the test device from the camera system. The detection system can be used to identify the test result in the test region. In some embodiments, the test result is binary (e.g., Positive/Negative). In some embodiments, the test result is in semi-quantitative formats (e.g., 1-10). The test result can be sent back to the user, operator, HMO, or physician for further confirmation, recording, and medical treatment decision/follow-up. The detection system can close the loop between the user of the test device and the HMO/physician for recording of the test result and the provision of medical treatment/follow-up.

Abstract: Sensor data generated by a sensor of a computer numerically controlled machine can be compared with a forecast. The forecast can include expected sensor data for the sensor, over a course of an execution plan for making a cut with a movable laser cutting head. The sensor data can be generated during execution of the execution plan. During execution of the execution plan, the sensor data can be monitored and a deviation of from the forecast can be detected. It can be determined, based on the detecting, that an anomalous condition of the computer numerically controlled machine has occurred. Based on the determining, an action can be performed.

Abstract: Systems and methods for measuring the concentricity of golf balls using varying energy levels to gather and analyze data on concentricity.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to ensuring quality of meat cuts. In some embodiments, a system for ensuring quality of meat cuts comprises a capture device comprising an image capture device configured to capture an image of a cut of meat, a depth sensor configured to capture depth data, a transceiver configured to transmit the image and the depth data, a microcontroller configured to control the image capture device, the depth sensor, and the transceiver, a database configured to store meat cut specifications, and the control circuit configured to receive, from the capture device, the image and the depth data, retrieve, from the database, a meat cut specification, evaluate the image of the cut of meat and the depth data associated with the cut of meat, and classify the cut of meat.

Abstract: A method may include generating, by a camera having a view of an interior portion of a computer-numerically-controlled machine, an image comprising a pattern. The image can be transformed into a set of machine instructions for controlling the computer-numerically-controlled machine to effect a change in a material. The change can correspond to at least a portion of the pattern. At least one machine instruction from the set of machine instructions can be executed to control the computer-numerically-controlled machine to effect at least a portion of the change. The execution can include operating, in accordance with the at least one machine instruction, a tool coupled with the computer-numerically-controlled machine. The tool can be configured to effect the change on the material. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A metrology system may include an imaging sub-system including one or more lenses and a detector to image a sample, where the sample includes metrology target elements on two or more sample layers. The metrology system may further include a controller to determine layer-specific imaging configurations of the imaging sub-system to image the metrology target elements on the two or more sample layers within a selected image quality tolerance, where each layer-specific imaging configuration includes a selected configuration of one or more components of the imaging sub-system. The controller may further receive, from the imaging sub-system, one or more images of the metrology target elements on the two or more sample layers generated using the layer-specific imaging configurations. The controller may further provide a metrology measurement based on the one or more images of the metrology target elements on the two or more sample layers.

Abstract: A method for cyber security monitor includes monitoring a network interface that is input-only configured to surreptitiously and covertly receive bit-level, physical layer communication between networked control and sensor field devices. During a training mode, a baseline distinct native attribute (DNA) fingerprint is generated for each networked field device. During a protection mode, a current DNA fingerprint is generated for each networked field device. The current DNA fingerprint is compared to the baseline DNA fingerprint for each networked field device. In response to detect at least one of RAA and PAA based on a change in the current DNA fingerprint to the baseline DNA fingerprint of one or more networked field devices, an alert is transmitted, via an external security engine interface to an external security engine.

Abstract: A stereo imaging system includes an optical assembly and a computational pixel imager (CPI) having a plurality of pixels. Each pixel includes a light sensor and counters that convert a photocurrent from the light sensor to a digital signal. The optical assembly, which directs light from a light field to the CPI, includes an optical field combiner and first and second primary lens assemblies, which are configured to receive first and second portions of the light from the lightfield, respectively, and to direct the first and second portions of the light to the optical field combiner. The optical field combiner includes a modulator configured to modulate the first and second portions of the light and to direct modulated first and second portions of the light onto the CPI. The counters are configured to perform digital signal processing on the digital signal.

Abstract: A stereo imaging system includes an optical assembly and a computational pixel imager (CPI) having a plurality of pixels. Each pixel includes a light sensor and counters that convert a photocurrent from the light sensor to a digital signal. The optical assembly, which directs light from a light field to the CPI, includes an optical field combiner and first and second primary lens assemblies, which are configured to receive first and second portions of the light from the light field, respectively, and to direct the first and second portions of the light to the optical field combiner. The optical field combiner includes a modulator configured to modulate the first and second portions of the light and to direct modulated first and second portions of the light onto the CPI. The counters are configured to perform digital signal processing on the digital signal.

Abstract: A system for validating installation correctness of a component in a test assembly includes a housing having a platform including a tiered surface. The tiered surface forms an abutment surface configured as a stop against which a test assembly is abutted. A plurality of cameras is positioned to capture different views of the test assembly. A processing device is configured to execute instructions to capture an image from each of the plurality of cameras of the test assembly that includes a plurality of components. Each of the plurality of components is analyzed within each image of the plurality of images. A matching score is determined and an indication of whether the plurality of components was correctly installed in the test assembly is generated.

Abstract: An exemplary system and method are disclosed for detecting malware via an antimalware application employing adversarial machine learning such as generative adversarial machine learning and the training and/or configuring of such systems. The exemplary system and method are configured with two or more generative adversarial networks (GANs), including (i) a first generative adversarial network (GAN) that can be configured using a library of malware code or non-malware code and (ii) a second generative adversarial network (GAN) that operates in conjunction with the first generative adversarial network (GAN) in which the second generative adversarial network is configured using a library of non-malware code.

Abstract: The present invention discloses an apparatus for counting discrete objects, said apparatus comprises of a hopper 1; an incline feeder 2 containing an inlet and an outlet; a single optical zone that allows detection of the discrete objects 10 entering from the feeder outlet; a controller which provides the count of the discrete objects; a screen for displaying the count of the discrete objects; wherein the incline feeder outlet is arranged orthogonally to the optical zone. The present invention discloses a method for counting discrete objects comprising the steps of inputting the discrete objects 10 into the hopper 1; passing the discrete objects through the incline feeder 2 such that they enter into the optical zone; optical zone sensing the entering discrete object 10 and transmitting a signal to the controller; displaying the count on a screen; dispensing the counted discrete objects.

Abstract: The present disclosure relates to a device. The device includes a first camera which is rotatable around a first axis and a second camera which is rotatable around a second axis. The first axis is in a direction of the second axis.

Abstract: A system and method of vehicle control for user safety and experience is provided. The system receives sensed information associated with a first vehicle, detects a state of the first vehicle, and determines activities of a person or a second vehicle in proximity of the first vehicle. Such activities are determined based on the sensed information. The system triggers actions based on whether or not the determined activities are unsafe for the first vehicle or for users of the first vehicle in the detected state. The system controls devices associated with the first vehicle based on the triggered actions. The devices include a light-based projector device that is controlled to project a visual alert, included in the triggered actions, directly onto a physical surface. The physical surface is a window portion of the first vehicle or a physical structure which is external to and separate from the first vehicle.

Abstract: An image inspection device includes a processor coupled to a sensor. The processor reads, using the sensor, an image formed on a recording material by an image forming device and creates a read image; causes an analysis to detect an abnormality in the read image and creates an analysis result; and creates a normal image file including the read image in which the abnormality has not been detected based on the analysis result.

Abstract: A mobile device that includes a camera and an extended reality software application program is employed by a user in an operating environment, such as an industrial environment. One or more objects within a geofence may be identified. A device crosses within the geofence and acquires sensor data associated with an object within the geofence. The sensor data may include image data and/or audio data. The device or a server system may then determine an object identifier associated with the object based on a comparison of the sensor data with data associated with object identifiers corresponding to objects within the geofence. Based on the object identifier, data associated with the object are obtained. The data associated with the object may be presented via the device, such as an extended reality overlay over a view of the object in the device.

Abstract: A method for detecting potential dents in a surface includes providing a flying drone with an image acquisition device and a light source, the shape of which is elongate, and a data processing device. At least one series of images is acquired of portions of the surface by the image acquisition device by moving the flying drone past the surface along a trajectory so that, for each image of the series, the light source is illuminating the corresponding portion of the surface. The data processing device is operated to analyze the shape of a specular reflection of the light source in images of the series of images to estimate the position of any dents in the surface.

Abstract: A processor comprises an exchange, a plurality of columns, and a plurality of exchange scan chains. The exchange comprises a plurality of exchange paths, each comprising a set of exchange path portions, for transmitting data between processing units. Each of the plurality of column comprises processing units, each processing unit connected to output data to a respective exchange path, and column pipe circuitry for providing a controllable path between the exchange and the processing units. The column pipe circuitry comprises a column wrapper chain for preventing a scan test signal from passing between the exchange paths and the processing units. The exchange scan chains enable scan testing of the exchange paths. Each exchange scan chain comprises a plurality of scan chain segments, each scan chain segment comprises an exchange path portion connected to at least one of the processing units of at least one of the columns of the processor.

Abstract: There is provided a method and a system configured to compensate for image distortions.

Abstract: A device to detect defects in a finished surface by analyzing images thereof includes a supporting mechanism, a transmitting mechanism, a detecting mechanism, and a processor. The transmitting mechanism carries and transmits the product. The detecting mechanism includes a detecting frame, and a light source assembly. The processor is used to connect to a camera assembly, and preprocess image obtained of the front of the product to obtain a detection of any defects of the front of the product.

Abstract: Systems are provided for managing defect data objects. A system stores a plurality of defect data objects that have been input to the system, and generates an issue item including one or more defect data objects that are selected from the stored defect data objects based on user input. The system determines similarity between the one or more defect data objects in the issue item and one or more of the stored defect data objects that are out of the issue item, based on comparison of one or more parameter values. The system determines one or more candidate defect data objects to be included in the issue item from the one or more of the stored defect data objects that are out of the issue item based on the similarity, and includes one or more of the determined candidate defect data objects in the issue item based on user input.

Abstract: A method of making a physical object by additive manufacturing. The method has the steps of providing a light hardenable primary material (11), building up the object (100) by successively hardening portions of the light hardenable primary material (11) by irradiating the portions with light, coating at least a part of the object (100) with a light permeable coating or oxygen protective material; and irradiating the coated object (100) with light and thereby post-hardening any light hardenable material (11).

Abstract: In an embodiment an apparatus includes an image acquisition device with at least one camera, the image acquisition device configured to acquire a multi-line section of a recording region and an evaluation device configured to process at least two sub-areas of the multi-line section as one strip image each and compare at least two strip images of a test pattern to each other in a validation mode to check whether deviations of the strip images are detected.

Abstract: A method of qualifying physical components using computed tomography (CT) includes obtaining qualified CT data from a CT scanner for at least one qualified physical component. Qualification data is generated based on the qualified CT data, where the qualification data defines a qualification envelope. Candidate CT data is obtained from the CT scanner for a candidate physical component. Comparison data is then generated based on the candidate CT data and the qualification data, where the comparison data indicates whether the candidate CT data is within the qualification envelope defined by the qualification data. An acceptance signal is generated if the comparison data meets acceptance criteria.

Abstract: A system includes a programmable assessor and a remote computer. The programmable assessor includes an assessment chamber, which includes an assessment platform and a sensor arranged to sense characteristics of a product on the assessment platform, as well as a processor coupled to the sensor and an input coupled to the processor. The remote computer includes a remote processor. The sensor is configured to sense characteristics of first and second versions of the product. The input is configured to receive a classification of the first and second versions of the product. The programmable assessor is configured to provide the sensed characteristics and classification of the first and second versions of the product to the remote processor. The remote processor is configured to generate an assessment program based on the sensed characteristics and classification of the first and second versions of the product, and to provide the generated assessment program to the programmable assessor.

Abstract: An inspection system includes circuitry configured to determine whether a predetermined pattern is present in a master image of an inspection target object; acquire an inspection target image of the inspection target object from an image captured by an image capturing device; compare the master image of the inspection target object with the inspection target image, to inspect the inspection target object; and switch a threshold value used in comparing the master image with the inspection target image of the inspection target object depending on a determination result of determining whether the predetermined pattern is present in the master image of the inspection target object.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: A method begins by a computing device allocating a plurality of tasks of an agricultural prescription for a farming geographic area to a fleet of farming equipment. While executing tasks of the plurality of tasks, the method continues with at least some of the fleet of farming equipment collecting task execution data. Based on the task execution data, the method continues with the computing device updating at least one of the agricultural prescription, the plurality of tasks, and the allocation of at least one task of the plurality of tasks.

Abstract: An example embodiment of the present invention provides a method of assessing the condition of a pavement site, comprising: (a) acquiring aerial images of the site from above, for example by an unmanned aerial system (UAS); (b) using photogrammetry tools to generate an orthomosaic that represents the airport pavement surface; (c) using image analysis tools and machine learning methods to determine the location and extent of defects in the pavement; (c) producing an image representation of the site and the defects, where the location and extent of defects are discernible from the image; (d) using software application techniques to store and present defect data and other related information for client-side user access.

Abstract: Systems and methods for optimal electron beam metrology guidance are disclosed. According to certain embodiments, the method may include receiving an acquired image of a sample, determining a set of image parameters based on an analysis of the acquired image, determining a set of model parameters based on the set of image parameters, generating a set of simulated images based on the set of model parameters. The method may further comprise performing measurement of critical dimensions on the set of simulated images and comparing critical dimension measurements with the set of model parameters to provide a set of guidance parameters based on comparison of information from the set of simulated images and the set of model parameters. The method may further comprise receiving auxiliary information associated with target parameters including critical dimension uniformity.

Abstract: A tracing device includes an appropriateness determination section configured to determine whether an image processing, which is executed in a production process of a board product by a board work machine, satisfies an appropriateness condition indicating reliability of a result of the image processing when the result of the image processing stays within a permissible range in which the result of the image processing is determined normal and an information management section configured to record image data used in the image processing as traceability information according to the result of the determination made by the appropriateness condition determination section.

Abstract: There is provided a technique that includes: a camera configured to capture images of the target object; a memory configured to store the images of the target object and feature data including one or more predetermined exterior features of the target object; and a processor configured to: determine a first process configuration for an operation including a plurality of image processes; perform the operation under the first process configuration; generate inspection data from the sets of images that have been processed; generate an inspection score by comparing the inspection data with the feature data; compare the inspection score with a predetermined threshold score; set the first process configuration as an optimal configuration if the inspection score satisfies the predetermined threshold score.

Abstract: A system, apparatus, computer program product, and a method for manufacturing an unconsolidated composite material. Sensor data is received from a sensor system for a composite material manufacturing system. The sensor data is received during manufacturing an unconsolidated composite material by the composite material manufacturing system. A set of predicted properties is determined for a number of portions of the unconsolidated composite material using the sensor data. The set of predicted properties is for the number of portions of the unconsolidated composite material as a completed product. A corrective action is performed based on a quality level for the number of portions of the unconsolidated composite material.