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 μm/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.

A method for inspecting a pillar-shaped honeycomb formed body before firing includes a step a1 of capturing at least one of a first end surface and a second end surface of a pillar-shaped honeycomb formed body before firing with a camera to generate an image of the at least one of the first end surface and the second end surface; a step b1 of measuring a size of an opening of a plurality of cells in the image generated by step a1; and a step c1 of identifying abnormal cells with the opening having a size deviating from a predetermined allowable range from the cells based on a measurement result of step b1, and measuring a number of the abnormal cells.

One exemplary embodiment of this disclosure relates to a method of inspecting a component of a gas turbine engine. The method includes performing a through-hole inspection, and determining a location of the plurality of holes from results of the through-hole inspection.

An automated inspection system for composite structures is provided. The automated inspection system comprises an optical system, a database of model data, and a computer system. The optical system is configured to take a measurement of the feature in relation to a reference element. The optical system then creates image data based on the measurement of the feature. The computer system is configured to compare the image data to model data and determine whether the measurement of the feature is within selected tolerances.

In-line inspection and control system to in-situ monitor an extrudate during extrusion. A light beam illuminates a line on the outside circumference of the extrudate skin recording the curvature. A master profile of the illuminated defect-free skin is recorded and compared to successive monitoring of the illuminated skin. Differences from the comparison indicate skin and/or shape defects. A real-time feedback to automatically adjust process control hardware reduces or eliminates the skin and shape defects based on the monitoring and comparison.

A method for assessing the quality of a multi-channel micro- and/or subwavelength-optical projection unit is disclosed. The method comprises the following steps: At least a predefined portion of the optical projection unit is illuminated so that an image is generated by at least two channels of the predefined portion of the multi-channel optical projection unit. At least one characteristic quantity is determined based on the analysis of the image, wherein a value of the characteristic quantity is associated with a characteristic feature of the projection unit, a defect of the projection unit and/or a defect class of the projection unit. The quality of the projection unit is assessed based on the at least one characteristic quantity. Moreover, a test system for assessing the quality of a multi-channel micro- and/or subwavelength-optical projection unit and a computer program are disclosed

A plurality of illumination elements obliquely irradiating an inspection target region in irradiation directions different from each other and equiangularly spaced around an image capturing part in a state where each of a low-angle, intermediate-angle, and high-angle illumination parts has a different irradiation angle are sequentially turned on and off. An image of the image captured region is captured every time each of the plurality of illumination elements is turned on. A determination image generation part specifies an inspection-excluded region based on at least one of maximum luminance image data and minimum luminance image data of three types of captured image data each corresponding to an irradiation angle of each illumination part and generates determination image data for the image captured region other than the inspection-excluded region. A defect determination part determines existence of a defect based on the determination image data.

A method, device, system and computer-readable medium for rapidly detecting a pest egg in a grain based on a pest egg structure feature and a pest hole structure feature is disclosed. The detecting method includes acquiring a gray digital image of a grain pile and three-dimensionally reconstructing it to obtain a three-dimensional image of a multi-grain pile; segmenting the three-dimensional image of the multi-grain pile to obtain one or more grains-contained unit images; identifying pest hole areas in each of one or more grains-contained unit images based on a biological feature of a pest; determining whether the pest hole area is a pest egg area based on the pest hole structure feature; and determining whether an alive pest egg exists in the pest egg area based on a geometric feature and a physical feature of the pest egg.

An automated inspection system for composite structures is provided. The automated inspection system comprises an optical system, a database of model data, and a computer system. The optical system is configured to take a measurement of the feature in relation to a reference element. The optical system then creates image data based on the measurement of the feature. The computer system is configured to compare the image data to model data and determine whether the measurement of the feature is within selected tolerances.

There is described an inspection device for inspecting a slot of a gas turbine engine. The inspection device comprises: an insert for insertion into the slot; a plurality of imaging devices coupled to the insert; and a processor. The insert is movable along a longitudinal axis of the slot. Each of the plurality of imaging devices is positioned adjacent an external surface of the insert and is configured to capture an image of a portion of the slot adjacent the imaging device. The processor is configured to receive data corresponding to the images captured by the plurality of imaging devices. There is also described a method of inspecting a slot using the inspection device.