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

Autor:	M.E. Preston, Michael R. Jackson, Liguo Tao
Rok vydání:	1996
Předmět:	Computer science Machine vision business.industry Co 2 laser Robustness (computer science) Signal Processing Reference map Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering Guidance system Line scan business
Zdroj:	Real-Time Imaging. 2:249-264
ISSN:	1077-2014
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::82a9f33c7c8602d388d505b54d3b19eb https://doi.org/10.1006/rtim.1996.0026 Zobrazit plný text záznamu Full Text from ScienceDirect