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Item type:Publication, 3D inspection for HDD production process using laser light sectioning(2015-01-01) ;Gulphanich, S. ;Nunak, N.Suesut, T.This research proposes the automatic visual inspection from three-dimensional characteristics of Hard Disk Drive case tightening process by machine vision system using laser light sectioning. The machine vision camera captures a number of features of HDD perpendicular to a conveyor belt as seen by a laser strip light. The narrow band pass filter (650 nm.) was mouthed in front of lens in order to cut off the unwanted wavelength. After image pre-processing, the laser profiles were calculated the center of gravity to extract the image coordinate. The features used here are the laser strip profile at various locations along the HDD formulating the 3D data. The homography computation was used to transform the image coordinate to the real world distance (in metric system). This scheme can be used to inspect the completeness of screwing process of the HDD which the 2D visual inspection cannot perform on the top view. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Volume estimation of symmetrical object using laser light sectioning(2014-01-01) ;Gulphanich, Suphan ;Songthai, MaethineeSuesut, TaweepolThis paper presents a method to estimate volume from three-dimensional characteristics of symmetrical objects by computer vision system using laser light sectioning. The camera captures the image of laser line projected on the object moving on a conveyor. The captured images can be estimated the widths and heights at various locations along the object. The area of cross section can be integrated to be volume of the object. The image data is extracted from the structured laser light projecting on the surface. After image pre-processing, the laser profile is calculated the center of gravity in order to extract the image coordinate. The homography transformation is used to transform the extracted coordinate to the real world distance (in metric system). A metric vision based on light sectioning for estimating the volume of symmetrical shapes (rectangular shape and circular shape) of the object were tested. The accuracy of estimation can apply in the automatic size grading on the conveyer as well.
