Scrap metal sorting with colour vision and inductive sensor array

Matti Kutila, Jouko Viitanen, Antero Vattulainen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

12 Citations (Scopus)

Abstract

This paper presents a novel automatic scrap metal sorting system which employs a colour vision based optical sensing system and an inductive sensor array. The operation of the system is verified in a real metal recycling plant. The long period test results indicate that 80 % purity can be achieved when the feeding conveyor speed is limited below 1,5 m/s. The described system is not designed for any particular metal. However, the above separation result can only be achieved when reddish (brass, copper) and bright metals (stainless steel) are separated. The properties of aluminium, zinc, and magnesium are too similar for the current sensing principle. The results do not only depend on the sensing system, but also optimal work flow, lighting, dust and vibrations have to be considered in a practical sorting machine. The achieved purity and capacity is sufficient for industrial use. Efficient use of sensor fusion provides good performance despite the diversity of the scrap metals.
Original languageEnglish
Title of host publicationProceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation, CIMCA 2005
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages725-729
ISBN (Print)0-7695-2504-0
DOIs
Publication statusPublished - 2005
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Computational Intelligence for Modelling, Control & Automation, CIMCA 2005 - Vienna, Austria
Duration: 28 Nov 200530 Nov 2005

Conference

ConferenceInternational Conference on Computational Intelligence for Modelling, Control & Automation, CIMCA 2005
Abbreviated titleCIMCA 2005
CountryAustria
CityVienna
Period28/11/0530/11/05

Keywords

  • scrap metal
  • sorting
  • optical sensing
  • colour vision

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