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Teat detection mechanism using machine learning based vision for smart Automatic Milking Systems

机译:使用基于机器学习的视觉的奶头检测机制,用于智能自动挤奶系统

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This paper discusses the work in progress of Automatic Milking system with focus on development of a smart vision system for the manipulator of the milking robot. The vision system being developed aims at giving the manipulator the capability for faster and accurate teat detection. In our laboratory environment, we are developing a smart vision system which is trained by machine learning and can detect the cow's udder and the teats for all the pre-milking, milking and post-milking processes with least to none time being spent on cow herd training for the system in the barn environment. This teat detection mechanism aims to reduce the time spent on training of the system in the first few initial milkings and reduce operator responsibilities, to eventually produce a more of plug and play product.
机译:本文讨论自动挤奶系统的工作进展,重点是为挤奶机器人操纵器开发智能视觉系统。正在开发的视觉系统旨在为机械手提供更快,更准确的乳头检测能力。在我们的实验室环境中,我们正在开发一种智能视觉系统,该视觉系统经过机器学习训练,可以检测出所有挤奶,挤奶和挤奶后奶牛的乳房和奶头,几乎没有花在奶牛群上的时间在谷仓环境中对系统进行培训。这种奶头检测机制旨在减少在最初的几次挤奶过程中花费在系统培训上的时间,并减少操作员的责任,最终生产出更多的即插即用产品。

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