AuthorsDaley, Wayne D R
KAUST DepartmentVisual Computing Center (VCC)
Permanent link to this recordhttp://hdl.handle.net/10754/575834
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AbstractThe processing of natural products has posed a significant problem to researchers and developers involved in the development of automation. The challenges have come from areas such as sensing, grasping and manipulation, as well as product-specific areas such as cutting and handling of meat products. Meat products are naturally variable and fixed automation is at its limit as far as its ability to accommodate these products. Intelligent automation systems (such as robots) are also challenged, mostly because of a lack of knowledge of the physical characteristic of the individual products. Machine vision has helped to address some of these shortcomings but underperforms in many situations. Developments in sensors, software and processing power are now offering capabilities that will help to make more of these problems tractable. In this chapter we will describe some of the developments that are underway in terms of computer vision for meat product applications, the problems they are addressing and potential future trends. © 2012 Woodhead Publishing Limited All rights reserved.
CitationDaley, W. D. R., & Arif, O. (2012). Automated cutting in the food industry using computer vision. Computer Vision Technology in the Food and Beverage Industries, 206–232. doi:10.1533/9780857095770.2.206