Recognition of electronic scrap for recycling

P.P.L. Regtien; M.J. Korsten; Z. Houkes

Recognition of electronic scrap for recycling

P.P.L. Regtien, M.J. Korsten, Z. Houkes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

This paper presents the design and performance of a recognition system for the identification of electronic components on scrap PCB's. The system comprises four measurement units: three optical imagers (yielding a range image, a high resolution grey-tone image and a color image, respectively), and an eddy current sensor (sensitive to electric and magnetic material properties). The system identifies batteries, electrolytic capacitors and integrated circuits. Its error rate is further reduced by fusion of the sensor outputs using strict Bayesian information integration.

Original language	English
Title of host publication	IMEKO 2000
Subtitle of host publication	XVI IMEKO World Congress, Sept. 25-28, 2000, Vienna, Austria
Editors	M.N. Durakbasa, P.H. Osanna, A. Afjehi-Sadat
Place of Publication	Vienna, Austria
Publisher	Austrian Society for Measurement and Automation
Pages	317-322
Number of pages	6
Volume	7
ISBN (Print)	3-901888-09-8
Publication status	Published - 25 Sept 2000
Event	XVI IMEKO World Congress 2000: Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future - Vienna, Austria Duration: 25 Sept 2000 → 28 Sept 2000 Conference number: 16

Conference

Conference	XVI IMEKO World Congress 2000
Abbreviated title	IMEKO XVI
Country/Territory	Austria
City	Vienna
Period	25/09/00 → 28/09/00

Keywords

Object recognition
Computer vision
Eddy current sensing
Sensor fusion
Recycling

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title = "Recognition of electronic scrap for recycling",

abstract = "This paper presents the design and performance of a recognition system for the identification of electronic components on scrap PCB's. The system comprises four measurement units: three optical imagers (yielding a range image, a high resolution grey-tone image and a color image, respectively), and an eddy current sensor (sensitive to electric and magnetic material properties). The system identifies batteries, electrolytic capacitors and integrated circuits. Its error rate is further reduced by fusion of the sensor outputs using strict Bayesian information integration.",

keywords = "Object recognition, Computer vision, Eddy current sensing, Sensor fusion, Recycling",

author = "P.P.L. Regtien and M.J. Korsten and Z. Houkes",

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editor = "M.N. Durakbasa and P.H. Osanna and A. Afjehi-Sadat",

booktitle = "IMEKO 2000",

publisher = "Austrian Society for Measurement and Automation",

note = "XVI IMEKO World Congress 2000 : Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future, IMEKO XVI ; Conference date: 25-09-2000 Through 28-09-2000",

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Recognition of electronic scrap for recycling. / Regtien, P.P.L.; Korsten, M.J.; Houkes, Z.
IMEKO 2000: XVI IMEKO World Congress, Sept. 25-28, 2000, Vienna, Austria. ed. / M.N. Durakbasa; P.H. Osanna; A. Afjehi-Sadat. Vol. 7 Vienna, Austria: Austrian Society for Measurement and Automation, 2000. p. 317-322.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Recognition of electronic scrap for recycling

AU - Regtien, P.P.L.

AU - Korsten, M.J.

AU - Houkes, Z.

N1 - Conference code: 16

PY - 2000/9/25

Y1 - 2000/9/25

N2 - This paper presents the design and performance of a recognition system for the identification of electronic components on scrap PCB's. The system comprises four measurement units: three optical imagers (yielding a range image, a high resolution grey-tone image and a color image, respectively), and an eddy current sensor (sensitive to electric and magnetic material properties). The system identifies batteries, electrolytic capacitors and integrated circuits. Its error rate is further reduced by fusion of the sensor outputs using strict Bayesian information integration.

AB - This paper presents the design and performance of a recognition system for the identification of electronic components on scrap PCB's. The system comprises four measurement units: three optical imagers (yielding a range image, a high resolution grey-tone image and a color image, respectively), and an eddy current sensor (sensitive to electric and magnetic material properties). The system identifies batteries, electrolytic capacitors and integrated circuits. Its error rate is further reduced by fusion of the sensor outputs using strict Bayesian information integration.

KW - Object recognition

KW - Computer vision

KW - Eddy current sensing

KW - Sensor fusion

KW - Recycling

M3 - Conference contribution

SN - 3-901888-09-8

VL - 7

SP - 317

EP - 322

BT - IMEKO 2000

A2 - Durakbasa, M.N.

A2 - Osanna, P.H.

A2 - Afjehi-Sadat, A.

PB - Austrian Society for Measurement and Automation

CY - Vienna, Austria

T2 - XVI IMEKO World Congress 2000

Y2 - 25 September 2000 through 28 September 2000

ER -

Recognition of electronic scrap for recycling

Abstract

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Keywords

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