The present technology relates to an information processing device, an information processing method, and an information processing system by which a user can easily recognize a position of a sensor having a defect from among sensors mounted on a vehicle. Position-related information about a relative position or direction with respect to a vehicle is acquired, and a combined image obtained by combining a defect image representing a position of the sensor having a defect from among the sensors mounted on the vehicle with a vehicle image reflecting the vehicle is displayed in response to the position-related information. The present technology can be applied so that a user can recognize a sensor having a defect from among the sensors mounted on a vehicle.

A photograph of a component after construction is acquired. A first program implemented on a communication terminal device displays a construction photograph solicitation icon soliciting a construction photograph on a display panel, when there is a component without the construction photograph in a first database stored in a memory of a second server. When accepting a selection of the construction photograph solicitation icon, the first program launches an imaging program and acquires photograph data. Alternatively, the first program acquires photograph data selected from a folder. The first program sends the acquired photograph data to the second server through a first server. A third program of the second server registers the sent photograph data in a second database. An operator selects one photograph from photographs shown by a plurality pieces of photograph data registered in the second database, and registers the photograph data of the selected photograph in the first database.

Aspects of the subject disclosure may include, for example, an apparatus capable of determining a subject device's condition. Images of the subject device may be compared to reference images to determine the device's condition. Functionality of the subject device may be verified to determine the subject device's condition. The subject device may be classified in one or more condition classes according to the determined condition. Other embodiments are disclosed.

An apparatus for raising livestock includes one or more confinement pens together with alleyways for transfer of the animals from one location to another. The apparatus includes one or more cameras for obtaining images of all animals in the containment area. A processor is provided for analyzing the images, the processor being arranged to allocate an arbitrary identification to each animal and to track all animals continually to maintain the allocation. From this tracking various data related to individual animals or the animals as a group can be obtained to assess their characteristics and to provide an indication to the worker of the animal to be extracted. The processor can be arranged to detect by image analysis of the image a quantity of feed and/or water in a feeder and to obtain images of the farrowing pen including the sow confinement area and at least one piglet confinement area.

An image processing device for processing an image of a tape having provided therein multiple cavities for receiving a component as a supply target includes a feature amount acquisition section configured to extract brightnesses of pixels within a predetermined range which can include a bottom surface of the cavity and a component inside the cavity using the image and acquire a value indicating scatter of the extracted brightnesses as a feature amount, and a determination section configured to determine on existence or non-existence of a component inside the cavity based on a determination threshold determined based on the feature amount for each of a case in which a component exists inside the cavity and a case in which no component exists inside the cavity and the feature amount acquired from the image.

Provided is a damage information processing device, a damage information processing method, and a program that offer ease with which a user can recognize a point that has a chronologically unnatural difference. A damage information processing device (10) includes a processor (20) and is configured to process information about damage to a structure. The processor (20) is configured to acquire information about damage to a structure. The information includes first damage information about a state at one point in time and second damage information about a state at a later point in time than the first damage information. The processor (20) is configured to extract difference information concerning the difference between the first damage information and the second damage information. The processor (20) is configured to detect, by searching through the difference information, a first category point where only the first damage information is involved or where the first damage information is greater than the second damage information. The processor (20) is configured to output, to a display device, an alert indication in connection with at least one of the first damage information or the second damage information to give an indication of the first category point.

Devices, systems, and methods of generating and providing a target topographic map for finishing a photomask blank are disclosed. A method includes receiving topographic data corresponding to an uncompleted photomask blank, receiving functional specifications for flatness of an acceptable photomask blank, and generating the target topographic map for first and/or second major surfaces of the blank, which provides instructions for removing material from the first and/or second major surfaces such that the first and second major surfaces achieve a flatness that passes each functional specification. The amount of material removed reflects a reduction in material necessary to pass the functional specifications. The method further includes transmitting the target topographic map to the finishing device to utilize a finishing technique to implement changes to the photomask blank according to the target topographic map by removing the material from the photomask blank to achieve a photomask blank that passes the functional specifications.

A method for generating a quality inspection data block for a distributed ledger includes: determining an identification code associated with a sample to be inspected, inspecting the sample and thereby generating quality inspection data associated with the sample, and after completion of the inspecting of the sample combining the identification code and the quality inspection data into the quality inspection data block. The method also includes adding the quality inspection data block to the distributed ledger. An inspector including a sensor that senses a characteristic of a sample, a memory that stores sensor output data, and a processor configured to: determine an identification code associated with a sample to be inspected, generate quality inspection data based on the sensor output data, and combine the identification code and the quality inspection data into a quality inspection data block. In one example, the inspector is an in-flight 3D inspector.

A system is configured to receive an indication that an apparatus in a first assembled state should comprise a component with a first digital fingerprint and a component with a second digital fingerprint. The system is configured to receive video footage of apparatuses in the first assembled state. The system is configured to isolate an image of an apparatus in the first assembled state. The system is configured to split the image into a frame comprising a first component and a frame comprising a second component. The system is configured to generate first and second filtered images. The system is configured to identify feature points in the filtered images. The system is configured to determine that the first set of feature points matches the first digital fingerprint and that the second set of feature points matches the second digital fingerprint. The system is configured to update a component database.

The present disclosure relates to a vision inspection system based on deep learning and a vision inspection method of. The vision inspection system based on deep learning according to the present disclosure includes a GT generation module that generates a GT for a region of interest of a car part image, a learning module that receives learning data from the GT generation module, performs learning based on deep learning, and outputs a weight file, and an interface module that detects a defect with respect to an image file received from a vision program by using the weight file, and returns a defect detection result to the vision program.