A learning device includes a camera configured to acquire image data by imaging a sample of a product, a physical property information acquisition unit configured to acquire physical property information of the sample, and a processing unit configured to generate a learning model. The processing unit is configured to identify a category of the sample based on rule information relating the physical property information to the category, to generate teacher data by relating the identified category to the image data, and to generate a learning model by machine learning using the teacher data. The learning model outputs the category of the sample in response to an input of the image data of the sample.

A method for determining a defect material element, the method includes (a) acquiring, by a charged particle beam system and by applying a spectroscopy process, an electromagnetic emission spectrum of a part of a defect; (b) acquiring, by the charged particle beam system, a backscattered electron (BSE) image of an area that includes the defect; and (c) determining a defect material element. The determining of the defect material element includes: determining whether an ambiguity exists in the electromagnetic emission spectrum, and resolving the ambiguity based on the BSE image, when it is determined that the ambiguity exists.

A method for determining a defect material element, the method includes (a) acquiring, by a charged particle beam system and by applying a spectroscopy process, an electromagnetic emission spectrum of a part of a defect; (b) acquiring, by the charged particle beam system, a backscattered electron (BSE) image of an area that includes the defect; and (c) determining a defect material element. The determining of the defect material element includes: determining whether an ambiguity exists in the electromagnetic emission spectrum, and resolving the ambiguity based on the BSE image, when it is determined that the ambiguity exists.

A method, apparatus, and system for inspecting a fuselage of an aircraft. A rail is positioned within an interior portion of the fuselage of the aircraft such that the rail extends through the interior portion of the fuselage. An inspection device is attached to the rail. The inspection device moves along the rail and the position of the rail enables the inspection device to inspect the interior portion. Video data is sent to a computer system over a wireless communications link between the inspection device and the computer system. The video data is displayed on a display system for the computer system. Inspection operations are performed in the interior portion of the fuselage with the inspection device attached to the rail when a group of commands to perform the inspection operations are received from the computer system over a wireless communications link between the inspection device and the computer system.

Based on job dumps for defects of interest and nuisance events for multiple optical modes, detection algorithms, and attributes, the best combination of the aforementioned is identified. Combinations of each of the modes with each of the detection algorithms can be compared for all the defects of interest detected at an offset of zero. Capture rate versus nuisance rate can be determined for one of the attributes in each of the combinations.

The present invention relates to a method for cancer cell separation, and more specifically, relates to a method for cancer cell separation using micro-vibration.

Description according to the present disclosure relates to an apparatus for inspecting a welding tip of a spot welding gun, and more particularly, to an apparatus for inspecting a welding tip of a spot welding gun, the apparatus enabling a user to replace a camera module swiftly and conveniently.

A device capable of easily defining an area other than a surface to be inspected of a workpiece. The device includes a drawing acquisition section for acquiring drawing data of the workpiece; a designation reception section for receiving specification of the surface to be inspected of the workpiece in the drawing data; and a non-inspection area calculation section for calculating, as a non-inspection area, an image area other than the surface to be inspected in an image in a view of the imaging section when the workpiece and the imaging section are positioned at an imaging position at which at least a part of the surface to be inspected as specified falls within the view of the imaging section.

Based on job dumps for defects of interest and nuisance events for multiple optical modes, detection algorithms, and attributes, the best combination of the aforementioned is identified. Combinations of each of the modes with each of the detection algorithms can be compared for all the defects of interest detected at an offset of zero. Capture rate versus nuisance rate can be determined for one of the attributes in each of the combinations.

Description according to the present disclosure relates to an apparatus for inspecting a welding tip of a spot welding gun, and more particularly, to an apparatus for inspecting a welding tip of a spot welding gun, the apparatus enabling a user to replace a camera module swiftly and conveniently.