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Automatic in-line i...
Automatic in-line inspection of shape based on photogrammetry
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- Bergström, Per, 1981- (author)
- Luleå tekniska universitet,Matematiska vetenskaper,Luleå University of Technology, Department of Engineering Sciences and Mathematics, Luleå, Sweden
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- Fergusson, Michael (author)
- Xtura AB, Kungsbacka, Sweden
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- Folkesson, Patrik (author)
- Xtura AB, Kungsbacka, Sweden
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- Runnemalm, Anna (author)
- Högskolan Väst,Avdelningen för produktionssystem (PS),PTW,University West, Department of Engineering Sciences, Trollhättan,Production Technology, University West, Trollhättan, Sweden
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- Ottosson, Mattias (author)
- Högskolan Väst,Avdelningen för produktionssystem (PS),PTW,University West, Department of Engineering Sciences, Trollhättan,Production Technology, University West, Trollhättan, Sweden
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- Andersson, Alf (author)
- Chalmers University of Technology, Department of Product and Production Development, Gothenburg, Sweden
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- Sjödahl, Mikael, 1965- (author)
- Luleå tekniska universitet,Strömningslära och experimentell mekanik,Luleå University of Technology, Department of Engineering Sciences and Mathematics, Luleå, Sweden
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(creator_code:org_t)
- Lund : Swedish Production Academy, 2016
- 2016
- English.
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In: The 7th International Swedish Production Symposium, SPS16, Conference Proceedings. - Lund : Swedish Production Academy. ; , s. 1-9
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Abstract
Subject headings
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- We are describing a fully automatic in-line shape inspection system for controlling the shape of moving objects on a conveyor belt. The shapes of the objects are measured using a full-field optical shape measurement method based on photogrammetry. The photogrammetry system consists of four cameras, a flash, and a triggering device. When an object to be measured arrives at a given position relative to the system, the flash and cameras are synchronously triggered to capture images of the moving object.From the captured images a point-cloud representing the measured shape is created. The point-cloud is then aligned to a CAD-model, which defines the nominal shape of the measured object, using a best-fit method and a feature-based alignment method. Deviations between the point-cloud and the CAD-model are computed giving the output of the inspection process. The computational time to create a point-cloud from the captured images is about 30 seconds and the computational time for the comparison with the CAD-model is about ten milliseconds. We report on recent progress with the shape inspection system.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Materialteknik -- Bearbetnings-, yt- och fogningsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Materials Engineering -- Manufacturing, Surface and Joining Technology (hsv//eng)
- NATURVETENSKAP -- Matematik -- Matematisk analys (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Mathematical Analysis (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Teknisk mekanik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Applied Mechanics (hsv//eng)
Keyword
- Automatic
- full-field
- in-line
- photogrammetry
- shape inspection
- single-shot
- Manufacturing and materials engineering
- Produktions- och materialteknik
- Experimentell mekanik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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