Methodology review for profile scanning and validation using 3D reconstruction by context capture and comparevidia
The aim is to develop an alternative means to Industrial Metrology, by integrating 3D Scanning and 3D Reconstruction. Traditional mean of modern metrology includes Manual Measurement, Measurement by CMM and Laser Bases Scanning. These means of “measurement” are often too expensive as is in the case...
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creator | Kumar, Vasanth CH Rao, Raghavendra V. Athanesious, Joshan Medona, Ann |
description | The aim is to develop an alternative means to Industrial Metrology, by integrating 3D Scanning and 3D Reconstruction. Traditional mean of modern metrology includes Manual Measurement, Measurement by CMM and Laser Bases Scanning. These means of “measurement” are often too expensive as is in the case of CMMs or too prone to human error. Thus, this resulted in the need for development of a new method for metrology for mass manufactured components. This need lead to the integration of 3D Scanning by means of a simple webcam and 3D Reconstruction of the object using Context capture. The camera is rotated, by means of a DC Motor, around the object that is fixed in its position. At regular intervals of rotation, takes pictures and stores them. A curved guideway is provided for the webcam mount so that pictures can be taken from different angles of orientation. The pictures are then fed into Context Capture, where they are stitched and result in a reconstructed model. For profile validation we use Compare Vidia, where we compare the results of the two scans, one of master or reference piece and one of the test or samples. After setting angular thresholds and tolerances, the two geometry profiles are compared and depending on the tolerances, the result is a “match” or “not-a-match”. |
doi_str_mv | 10.1063/5.0095635 |
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For profile validation we use Compare Vidia, where we compare the results of the two scans, one of master or reference piece and one of the test or samples. 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For profile validation we use Compare Vidia, where we compare the results of the two scans, one of master or reference piece and one of the test or samples. After setting angular thresholds and tolerances, the two geometry profiles are compared and depending on the tolerances, the result is a “match” or “not-a-match”.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0095635</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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source | AIP Journals Complete |
subjects | Angles (geometry) Context D C motors Human error Metrology Pictures Reconstruction Scanning Tolerances Webcams |
title | Methodology review for profile scanning and validation using 3D reconstruction by context capture and comparevidia |
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