Abstract: A gas sensor includes: a substrate; a first conductor and a second conductor that are disposed on the substrate; an insulating layer; and an adsorbent layer. The insulating layer covers the first conductor and the second conductor, and has a first opening that allows a part of a surface of the first conductor to be exposed therethrough and a second opening that allows a part of a surface of the second conductor to be exposed therethrough. The adsorbent layer contains a conductive material and an organic adsorbent that can adsorb a gas. The adsorbent layer is in contact with the first conductor and the second conductor respectively through the first opening and the second opening.

Abstract: A position detection apparatus for detecting a position of an object includes a video image producer which produces a video image signal representing the object image. The video image signal is divided into first and second level portions by an edge point. An edge point detector detects the edge point where said level difference is greater than a threshold level. A window filter is provided to increase this level difference to a level greater than a threshold so that the edge point detector can detect the edge point even when the level difference is smaller than the threshold level. A shape detector detects the position of the object based on thus detected edge point.

Abstract: A method of position recognition, includes a step of obtaining a gray image by picking up an image of an object by an image pickup device; a step of scanning the gray image by a profile scanning window composed of a plurality of gray-level detection areas which cross a scanning profile corresponding to a profile of the object on the gray image and using to measure a gray-level representative value of an inner-side gray-level detection area and a gray-level representative value of an outer-side gray-level detection area which are inside and outside of the scanning profile; a step of calculating for each gray-level detection area an absolute value of a difference between the measured gray-level representative value of an inner-side gray-level detection area and the measured gray-level representative value of an outer-side gray-level detection area, and a step of detecting a position of the profile scanning window where a number of such gray-level detection areas in which the absolute value is greater than a spe

Abstract: An alignment detection apparatus is able to accurately detect the alignment condition of an upper hole and a lower hole located under the upper hole even when a scanning window does not precisely match either of the two holes. This alignment detection apparatus comprises an image producer which produces a digital density image indicative of these two holes. A position detector detects positions of the holes based on the digital image signal and produces a position signal. A displacement detector detects a distance between the upper hole and lower hole based on the position signal and produces a displacement signal indicative of the thus detected distance. Based on the displacement signal, the alignment condition of two holes including the information of how the lower hole edge is displaced from the upper hole edge can be detected.

Abstract: An inspection method for judging whether an object is defective or not uses a neural network comprising an input neuron which quantizes input feature quantities based on present quantization ranges, a plurality of intermediate neuron coupled to the input neuron with coupling coefficients determined from quantized feature quantities and a pair of output neurons coupled to respective intermediate neurons with intermediate coupling coefficients obtained by learning in which the intermediate coupling coefficients are initially set so that any object is judged to be defective and are fitted so that if an object is nondefective then it is judged to be nondefective by performing learning with use of nondefective objects.

Abstract: Each pixel of a density reference area of a reference image is assigned a predetermined coefficient value in accordance with whether the pixel is located within a peripheral boundary of a to be detected shape, external the peripheral boundary of the to-be-detected shape, or on the peripheral boundary of the to-be-detected shape. An actual image of an object containing the to-be-detected shape is then obtained, and after setting a target pixel of the resultant image, the image density of each pixel is multiplied by the coefficient values of the density reference area of the reference image. The resultant products are transformed into a density correlation value for the target pixel. The location of the target pixel is then scanned to determine the location of a target pixel at which a maximum or a minimum density correlation value is obtained. The thus determined location is detected as the location of the to-be-detected shape within the object.

Abstract: A method for position recognition, includes the steps of: picking up an image of an object having a circular arc shape as at least part of its profile, by an image pickup device; converting image information of the picked-up image in gray image data and storing the gray image data into a storage device; scanning the stored gray image with a profile scanning window composed of plural gray-level detection areas crossing an imaginary scanning circular profile corresponding to the shape on the gray image and arranged in circular along the scanning circular profile and using it to measure gray-level representative values of an inner- and outer-side gray-level detection areas inside and outside of the scanning circular profile; calculating, at each scanning position during scanning and for each detection area, an absolute value of a difference between the measured gray-level representative values of the inner- and outer-side gray-level detection areas; determining a number of such detection areas in which the absol

Abstract: Positions of overlapping first and second circular holes of respective first and second objects are detected, the first and second objects to be screwed together by a robotic screwing mechanism. An upper surface of the first object is viewed with an image pick-up device to obtain an image of the first circular hole and a partial image of the second circular hole which overlaps the image of the first circular hole. Two maximally spaced-apart boundary points from among the boundary points along an outer periphery of the partial image are detected. First and second circles within an image frame are defined which include the two maximally spaced-apart boundary points and which have respective centers of gravity which are symmetric to each other relative to a line segment connecting the maximally spaced-apart boundary points. The positions of the first and second circular holes are detected based on the defined first and second circles within the image frame.

Abstract: A method for discerning whether an object to be inspected is acceptable or not is based on feature values with respect to a binary-coded image of the object.

Abstract: An appearance inspecting method includes the steps of dividing a recognized image of an object into regions based on two attributes of image points within the image calculating the minimum distance of each point within a target region to a periphery of the target region, and measuring a size of the target region from the maximum of the calculated minimum distances of the points in the target region.