Laser Scanning Techniques for Defect Recognition on Cutting Tools

Gordon Dalgliesh; R. D. James; Kasim Randeree

Laser Scanning Techniques for Defect Recognition on Cutting Tools

Gordon Dalgliesh, R. D. James, Kasim Randeree

University of Hull

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

53 Downloads (Pure)

Abstract

Low-power laser scanning techniques provide a powerful tool for a diverse range of automatic inspection tasks. They are more suitable for high component feed rates, less sensitive to changes in ambient lighting and their output requires less processing power than CCD vision systems. In earlier papers [1,2], the authors have described typical automotive-related areas of application for laser scanning. The current paper describes recent work concerned with data capture and signal processing techniques necessary for fully automatic inspection systems with particular reference metal cutting machine tools.

Original language	English
Title of host publication	31st International Symposium on Automotive Technology and Automation
Publisher	Automotive Automation Ltd
Pages	189-196
Number of pages	8
ISBN (Print)	0953257614
Publication status	Published - Jun 1998
Event	31st International Symposium on Automotive Technology and Automation - Düsseldorf, Germany Duration: 2 Jun 1998 → 5 Jun 1998

Conference

Conference	31st International Symposium on Automotive Technology and Automation
Abbreviated title	ISATA ‘98
Country/Territory	Germany
City	Düsseldorf
Period	2/06/98 → 5/06/98

Keywords

ISATA
automotive technology
automation

Access to Document

ISATA98 for upload

Cite this

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title = "Laser Scanning Techniques for Defect Recognition on Cutting Tools",

abstract = "Low-power laser scanning techniques provide a powerful tool for a diverse range of automatic inspection tasks. They are more suitable for high component feed rates, less sensitive to changes in ambient lighting and their output requires less processing power than CCD vision systems. In earlier papers [1,2], the authors have described typical automotive-related areas of application for laser scanning. The current paper describes recent work concerned with data capture and signal processing techniques necessary for fully automatic inspection systems with particular reference metal cutting machine tools.",

keywords = " ISATA, automotive technology, automation",

author = "Gordon Dalgliesh and James, {R. D.} and Kasim Randeree",

year = "1998",

month = jun,

language = "English",

isbn = "0953257614",

pages = "189--196",

booktitle = "31st International Symposium on Automotive Technology and Automation",

publisher = "Automotive Automation Ltd",

address = "United Kingdom",

note = "31st International Symposium on Automotive Technology and Automation, ISATA {\textquoteleft}98 ; Conference date: 02-06-1998 Through 05-06-1998",

}

TY - GEN

T1 - Laser Scanning Techniques for Defect Recognition on Cutting Tools

AU - Dalgliesh, Gordon

AU - James, R. D.

AU - Randeree, Kasim

PY - 1998/6

Y1 - 1998/6

N2 - Low-power laser scanning techniques provide a powerful tool for a diverse range of automatic inspection tasks. They are more suitable for high component feed rates, less sensitive to changes in ambient lighting and their output requires less processing power than CCD vision systems. In earlier papers [1,2], the authors have described typical automotive-related areas of application for laser scanning. The current paper describes recent work concerned with data capture and signal processing techniques necessary for fully automatic inspection systems with particular reference metal cutting machine tools.

AB - Low-power laser scanning techniques provide a powerful tool for a diverse range of automatic inspection tasks. They are more suitable for high component feed rates, less sensitive to changes in ambient lighting and their output requires less processing power than CCD vision systems. In earlier papers [1,2], the authors have described typical automotive-related areas of application for laser scanning. The current paper describes recent work concerned with data capture and signal processing techniques necessary for fully automatic inspection systems with particular reference metal cutting machine tools.

KW - ISATA

KW - automotive technology

KW - automation

UR - https://www.tib.eu/en/search/id/BLCP%3ACN026410240/Laser-Scanning-Techniques-for-Defect-Recognition/

M3 - Conference proceeding

SN - 0953257614

SP - 189

EP - 196

BT - 31st International Symposium on Automotive Technology and Automation

PB - Automotive Automation Ltd

T2 - 31st International Symposium on Automotive Technology and Automation

Y2 - 2 June 1998 through 5 June 1998

ER -

Laser Scanning Techniques for Defect Recognition on Cutting Tools

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Computer Aided Design and Production of an Automated Laser-Based Cutting Tool Inspection System for CNC Machining Centres

Intelligent Integrated Tool Management and Handling System

Advances in Tool Management Systems

Cite this

Laser Scanning Techniques for Defect Recognition on Cutting Tools

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Computer Aided Design and Production of an Automated Laser-Based Cutting Tool Inspection System for CNC Machining Centres

Intelligent Integrated Tool Management and Handling System

Research output

Advances in Tool Management Systems

Cite this