2015
DOI: 10.7763/ijesd.2015.v6.724
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Optical Sensor Evaluation for Vision Based Recognition of Electronics Waste

Abstract: Abstract-For the online and offline classification of printed circuit boards and SMD components mounted on the board a sensor evaluation of optical sensors with different characteristics is presented. In overall a high resolution multispectral camera, a DSLR, an IP camera, and the RGB sensor of the Asus Xtion Pro Live have been evaluated for 2D images. For the 3D acquisition the Asus Xtion Pro Live is compared to the Bluetechnix M100 time of flight sensor. The sensor analysis shows the affected recognition per… Show more

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Cited by 5 publications
(2 citation statements)
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“…Once the data are of high quality, images can be processed to identify and extract key features (edges, shapes, colors, etc.). Researchers have focused on extracting useful features [97][98][99][100][101][102]. Some simple features include colours as a sorting criteria [103,104].…”
Section: Machine Visionmentioning
confidence: 99%
See 1 more Smart Citation
“…Once the data are of high quality, images can be processed to identify and extract key features (edges, shapes, colors, etc.). Researchers have focused on extracting useful features [97][98][99][100][101][102]. Some simple features include colours as a sorting criteria [103,104].…”
Section: Machine Visionmentioning
confidence: 99%
“…In other words, there is no perfect EC sorting technique since they all have their strengths and weaknesses. Thus, the right strategy should come from a combination, as suggested by Kleber et al, of both LIBS and computer vision [127]. Several sorting methods assembled along the sorting line should yield higher sorting efficiencies.…”
Section: Combinatory Approachesmentioning
confidence: 99%