An application of computer vision to lace cutting

Russel, Ruth; Wong, Paul

doi:10.1016/0921-8890(89)90002-x

Cited by 10 publications

(5 citation statements)

References 2 publications

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“…Lace pattern template matching has been reported by Russell & Wong [23], where different sections of lace pattern were compared for degree of similarity to find a matched 'pair'. A special purpose template matching correlator was produced which achieved an area match between two lace patterns of typically 50 mm ϫ 400 mm in a time of 3 sec using an area scan camera and a Intel 8051 based analysis system.…”

Section: Template Matchingmentioning

confidence: 99%

Real-Time Cutting Path Determination Using Machine Vision-Based Incremental Pattern Tracking

1996

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Section: Template Matchingmentioning

confidence: 99%

Real-Time Cutting Path Determination Using Machine Vision-Based Incremental Pattern Tracking

1996

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“…This demonstrated for the first time that a fully automatic system could be used to cut lace fabric at advanced production speeds (1 m/s). Other systems [4][5][6] demonstrated the machine vision technology required to develop an automatic lace cutting system but failed to realize a fully working prototype. Two commercial systems [7,8] are available and can cut lace automatically, but are relatively slow (200 mm/s web speed), unreliable, and expensive and have made little commercial impact on the lace industry apart from use with relatively stiff net curtain lace.…”

Section: Recent Work On Lace Cuttingmentioning

confidence: 99%

Section: Recent Work On Lace Cuttingmentioning

confidence: 99%

Pulsed laser scalloping of decorative lace

Bamforth

Jackson

Williams

2006

Proceedings of the Institution of Mechanical Engineers, Part B:

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Decorative lace is knitted in webs typically 3 metres wide containing many smaller lace ribbons. These lace ribbons must be separated from the main web before sale to the garment manufacturers and retail trade. The separation process for decorative lace is traditionally carried out using scissors or a guided knife cutting system. The development of a machine vision guided laser cutting system at Loughborough University in the 1990s demonstrated that an economical fully automatic cutting system could replace the slow and expensive traditional methods. Incorrect positioning of the continuous wave laser beam focused spot can cause melting and subsequent hardening to the lace edge, which can feel harsh on the skin of the garment wearer and is a quality issue in some market sectors. In order to address this quality issue a high-accuracy pulsed laser cutting solution has been investigated, resulting in a fully automatic, vision guided, pulsed laser cutting process for lace in the form of a low-speed demonstration system. The lace produced on the pulsed laser system has been shown to have a significant improvement in edge quality over lace produced using the continuous wave laser cutting process. The edge quality produced by the pulsed laser cutting process approaches that of traditional mechanically cut lace with the potential for vastly increased output with lower operational costs.

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“…While there is still work to be done in the inspection field, researchers are now focusing attention on investigating the possibility of using imaging information to determine what the process should do next. Some textile based research is evident (Ameziane, 1985; Kimoto, 1986;Russell, 1989) with a number of commercial machines now being offered for low speed adaptive cutting of fabrics (Anon, 1991;Hertzog, 1994;Khoury, 1991). The work is, of course, not restricted to the textile industry.…”

Section: Enabling Technologiesmentioning

confidence: 99%

Lace cutting for the next millennium

Jackson

Preston²

1998

Integrated Manufacturing Systems

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The problems of pattern cutting as applied to flexible elastic mesh fabrics (lace) are described within the context of the total manufacturing process. While the design and knitting stages of lace manufacture are highly computerised, providing associated benefits, the cutting room operates with conventional, slow, labour intensive machinery, leading to substantial processing bottlenecks and dependent costs. A new system is presented which uses machine vision to determine the required cutting path on the lace fabric in real‐time via sophisticated, yet high speed, image processing algorithms. The determined cutting path data are used to direct a high speed CO2 laser beam to the correct cutting point with beam velocities of typically 6 m/sec. Simultaneous dual edge cutting is now possible using this new system, leading to lace throughput being increased by a factor of ten typically, with the possibility of processing more sophisticated designs and achieving higher cut edge quality.

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An application of computer vision to lace cutting

Cited by 10 publications

References 2 publications

Real-Time Cutting Path Determination Using Machine Vision-Based Incremental Pattern Tracking

Real-Time Cutting Path Determination Using Machine Vision-Based Incremental Pattern Tracking

Pulsed laser scalloping of decorative lace

Lace cutting for the next millennium

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