Aarhus Universitets segl

Kim Bjerge

3D impurity inspection of cylindrical transparent containers

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This paper presents a method for automatically detecting and three-dimensionally positioning particles based on sequences of 2D images of rotating cylindrical transparent containers. The method can be used in the manufacturing industry by distinguishing between particles residing inside or outside a closed container. A foreign particle on the inside is a cause of rejection, whereas a particle on the outside might represent harmless dirt. The proposed method detects, tracks and positions particles and classifies containers accordingly as either rejected or accepted. Experimental results have shown an accuracy of 85% on a test set of 20 containers and an average execution time per container of 1 s.
OriginalsprogEngelsk
Artikelnummer017002
TidsskriftMeasurement Science and Technology
Vol/bind28
Nummer1
Antal sider5
ISSN0957-0233
DOI
StatusUdgivet - 6 dec. 2016

    Forskningsområder

  • visual inspection, machine vision, impurity detection

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