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

Author: Jackson M.R.   Preston M.E.   Tao L.G.  

Publisher: Academic Press

ISSN: 1077-2014

Source: Real-Time Imaging, Vol.2, Iss.4, 1996-04, pp. : 249-264

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Abstract

In this article a fundamentally new approach to cutting patterned breadths of lace fabric from a mesh backing web is presented. A line scan camera-based vision system employing a special tracking algorithm is used to detect pattern registration of lace fabric incrementally, allowing real-time determination of the local cutting path in accordance with a pre-defined reference map. This approach achieves high tracking speeds and a high level of robustness. The determined cutting path data is used to target a CO 2 laser beam actively to achieve separation of lace ribbon at speeds of 1 m/sec. The new machine which utilizes this vision guidance system provides levels of production that have been hitherto unattainable with conventional mechanically based lace cutting machines.