A defect inspecting system includes a detector configured to image a sample and a host control device that acquires an inspection image including a defect and a plurality of reference images not including a defect site and generates a pseudo defect image by editing a predetermined reference image among the plurality of acquired reference images. An initial parameter is determined with which the pseudo defect site is detectable from the pseudo defect image. The host control device acquires a defect candidate site from the inspection image using the initial parameter, estimates a high-quality image from an image of a site corresponding to the defect candidate site using the parameter acquired in image quality enhancement, and specifies an actual defect site in the inspection image by executing defect discrimination. A parameter is determined with which a site close to the specified actual defect site is detectable using the inspection image.

A method for automating an agricultural work task which is performed by a tillage device on an agricultural tractor includes modifying via a control unit at least one process control variable representing a working or operating parameter of the tillage device using feedback data which represent a field state of a field surface before or after tillage, generating via an imaging sensor a ground image of the field surface, and evaluating via a data processing unit the ground image to determine at least some of the feedback data. The data processing unit evaluates the ground image such that the ground image is used to determine the feedback data depending on the result of a monitoring of the field surface for visually covering air dust.

An example wear detection system receives first image data related to at least one ground engaging tool (GET) of a work machine from one or more sensors at a first time instance in a dig-dump cycle of the work machine. The wear detection system processes the first image data to determine a first wear measurement and first wear level for the at least one GET. The wear detection system determines whether the first wear level is indicative of a GET replacement condition. The wear detection system generates an alert when the first wear level is indicative of the GET replacement condition. The wear detection system receives second image data related to the at least one GET a second time instance different from the first time instance when the first wear level is not indicative of the GET replacement condition and determines a second wear measurement and second wear level for the at least one GET. The wear detection system generates an alert indicative of the first wear level and the second wear level based on determining that the first wear level and the second wear level are indicative of the GET replacement condition.

A part inspection system includes a vision device configured to image a part being inspected and generate a digital image of the part. The system includes a part inspection module communicatively coupled to the vision device and receives the digital image of the part as an input image. The part inspection module includes a defect detection model. The defect detection model includes a template image. The defect detection model compares the input image to the template image to identify defects. The defect detection model generates an output image. The defect detection model configured to overlay defect identifiers on the output image at the identified defect locations, if any.

A computing system including a processing circuit in communication with a robot and a camera having a field of view. The processing circuit obtains image information based on the objects in the field of view and a loading environment, the loading environment which includes loading areas, an object queue, and a buffer zone. The computing system is configured to use the obtained image information in motion planning operations for the retrieval and placement of objects from the object queue into the loading environment. Pallets provided within the loading environment (i.e., within the loading areas) are dedicated to receiving objects having corresponding object type identifiers. The computer system further uses the image information to determine the fill status of pallets existing within the loading environment, and whether new pallets need to be brought into the loading environment and/or swapped out with existing pallets to account for future planning and placement operations.

A material handling system sorts materials utilizing a vision system of multiple vision devices configured with single board computers that each implement an artificial intelligence system in order to identify or classify materials, which are then sorted into separate groups based on such an identification or classification by sorting devices that are each coupled to one of the vision devices.

There is provided with an information processing apparatus. An approximate discrimination unit discriminates an approximate type of an object from a first captured image obtained by capturing the object to which identification information is added. A setting unit sets, based on the approximate type of the object, an image capturing condition for capturing an image to obtain the identification information. A detail discrimination unit identifies the identification information from a second captured image obtained by capturing the object under the image capturing condition and discriminates a detailed type of the object based on a result of the identification.

The present invention provides a shaft rotational speed measurement device and method based on variable density sinusoidal fringe pattern. The device comprises a variable density sinusoidal fringe pattern sensor, a high speed image acquisition and transmission module, a computer, and an image processing software module. The method comprises the following steps: make the variable density sinusoidal fringe pattern sensor attached on the circumferential surface of the measured shaft, the variable density sinusoidal fringe pattern sensor is continuously imaged and recorded by the high speed image acquisition module, the image transmission module transfers the fringe pattern signal to the computer, the image processing software module carries out Fourier transform to the fringe pattern signal in the same position of each frame, and corrects the peak frequency accurately by using the peak frequency correction method to obtain the accurate fringe pattern density information of each frame, obtains the time domain curve of the rotational angular velocity of the measured shaft, and then calculate the rotational speed of the measured shaft through the rotational angular velocity and sampling frequency. The present invention can realize non-contact measurement of rotational speed of measured shaft within a certain speed range, and the measuring device is simple, the measuring method is fast and accurate.

Methods and systems for aligning images of a specimen generated with different modes of an imaging subsystem are provided. One method includes separately aligning first and second images generated with first and second modes, respectively, to a design for the specimen. For a location of interest in the first image, the method includes generating a first difference image for the location of interest and the first mode and generating a second difference image for the location of interest and the second mode. The method also includes aligning the first and second difference images to each other and determining information for the location of interest from results of the aligning.

Methods and systems for performing diagnostic functions for a deep learning model are provided. One system includes one or more components executed by one or more computer subsystems. The one or more components include a deep learning model configured for determining information from an image generated for a specimen by an imaging tool. The one or more components also include a diagnostic component configured for determining one or more causal portions of the image that resulted in the information being determined and for performing one or more functions based on the determined one or more causal portions of the image.