Quality control of safety belts by machine vision inspection for real-time production

Daniel Ponsa; Robert Benavente; Felipe Lumbreras; Judit Martínez; Xavier Roca

doi:https://doi.org/10.1117/1.1556391

Quality control of safety belts by machine vision inspection for real-time production

Daniel Ponsa, Robert Benavente, Felipe Lumbreras, Judit Martínez, Xavier Roca

Research output: Contribution to journal › Article › Research › peer-review

14 Citations (Scopus)

Abstract

Safety belts are specific fabrics manufactured to ensure the highest performance. Their manufacturing process not only has to assure its endurance to high tension strength, but also has to guarantee its correct visual appearance. Safety belts must not contain fiber breaks, knots, thickness variations, etc. Such defects imply the unfulfillment of rigorous safety standards. We describe the development of a computer vision inspection system, which control safety belts at a speed rate of 2 m/s. This Inspection rate has been achieved by means of a parallel architecture and the use of optimized vision algorithms. © 2003 society of Photo-Optical Instrumentation Engineers.

Original language	English
Pages (from-to)	1114-1120
Journal	Optical Engineering
Volume	42
DOIs	https://doi.org/10.1117/1.1556391
Publication status	Published - 1 Apr 2003

Keywords

Machine vision
Quality control
Texture
Woven inspection

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title = "Quality control of safety belts by machine vision inspection for real-time production",

abstract = "Safety belts are specific fabrics manufactured to ensure the highest performance. Their manufacturing process not only has to assure its endurance to high tension strength, but also has to guarantee its correct visual appearance. Safety belts must not contain fiber breaks, knots, thickness variations, etc. Such defects imply the unfulfillment of rigorous safety standards. We describe the development of a computer vision inspection system, which control safety belts at a speed rate of 2 m/s. This Inspection rate has been achieved by means of a parallel architecture and the use of optimized vision algorithms. {\textcopyright} 2003 society of Photo-Optical Instrumentation Engineers.",

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T1 - Quality control of safety belts by machine vision inspection for real-time production

AU - Ponsa, Daniel

AU - Benavente, Robert

AU - Lumbreras, Felipe

AU - Martínez, Judit

AU - Roca, Xavier

PY - 2003/4/1

Y1 - 2003/4/1

N2 - Safety belts are specific fabrics manufactured to ensure the highest performance. Their manufacturing process not only has to assure its endurance to high tension strength, but also has to guarantee its correct visual appearance. Safety belts must not contain fiber breaks, knots, thickness variations, etc. Such defects imply the unfulfillment of rigorous safety standards. We describe the development of a computer vision inspection system, which control safety belts at a speed rate of 2 m/s. This Inspection rate has been achieved by means of a parallel architecture and the use of optimized vision algorithms. © 2003 society of Photo-Optical Instrumentation Engineers.

AB - Safety belts are specific fabrics manufactured to ensure the highest performance. Their manufacturing process not only has to assure its endurance to high tension strength, but also has to guarantee its correct visual appearance. Safety belts must not contain fiber breaks, knots, thickness variations, etc. Such defects imply the unfulfillment of rigorous safety standards. We describe the development of a computer vision inspection system, which control safety belts at a speed rate of 2 m/s. This Inspection rate has been achieved by means of a parallel architecture and the use of optimized vision algorithms. © 2003 society of Photo-Optical Instrumentation Engineers.

KW - Machine vision

KW - Quality control

KW - Texture

KW - Woven inspection

U2 - https://doi.org/10.1117/1.1556391

DO - https://doi.org/10.1117/1.1556391

M3 - Article

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VL - 42

SP - 1114

EP - 1120

JO - Optical Engineering

JF - Optical Engineering

ER -

Quality control of safety belts by machine vision inspection for real-time production

Abstract

Keywords

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