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Automatic in-line inspection of shape based on photogrammetry

Bergström, Per, 1981- (author)
Luleå tekniska universitet,Matematiska vetenskaper,Luleå University of Technology, Department of Engineering Sciences and Mathematics, Luleå, Sweden
Fergusson, Michael (author)
Xtura AB, Kungsbacka, Sweden
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
Ottosson, Mattias (author)
Högskolan Väst,Avdelningen för produktionssystem (PS),PTW,University West, Department of Engineering Sciences, Trollhättan,Production Technology, University West, Trollhättan, Sweden
Andersson, Alf (author)
Chalmers University of Technology, Department of Product and Production Development, Gothenburg, Sweden
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.
In: The 7th International Swedish Production Symposium, SPS16, Conference Proceedings. - Lund : Swedish Production Academy. ; , s. 1-9
  • Conference paper (peer-reviewed)
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

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