With the continuous development of science and technology, industrial production technology is also constantly developing, and production efficiency is also constantly improving. Greenhouse electric working robots are industrial production tools with automatic control technology as the core, which affects the quality of industrial products and thus affects the profitability of the factory. According to the set programming work, the greenhouse electric working robot can realize the reproduction production and reduce the workload of the workers. In today’s era, the industrial production steps are more complicated, the production process is more flexible, and the robot’s unchanging posture and movement cannot meet the needs of modern industry, which restricts the development of the factory. In order to better complete the work of industrial robots, it is necessary to study the geometric positioning and color recognition of industrial robots based on machine vision to improve the working efficiency of industrial robots. This paper established an active positioning machine vision system for precise positioning of robot parts greenhouse electric working stations. The matching method using image processing and feature recognition area based on the shape of the binding phase combines the threshold shape criterion to identify object features. The experiments prove that the method can quickly and accurately obtain the object boundaries and centroid calculations and identification data, the robot kinematics combined with real-time motion control of the robot in order to eliminate this error, meet the requirements of the industrial robot self-aligned.

中文翻译：

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基于视觉处理的温室电动作业机器人几何定位与颜色识别

随着科学技术的不断发展，工业生产技术也在不断发展，生产效率也在不断提高。温室电动作业机器人是以自动控制技术为核心的工业生产工具，它影响工业产品的质量，进而影响工厂的盈利能力。根据设定的编程工作，温室电动工作机器人可以实现复制生产，减少工人的工作量。当今时代，工业生产步骤更加复杂，生产过程更加灵活，机器人一成不变的姿态和动作不能满足现代工业的需要，制约了工厂的发展。为了更好地完成工业机器人的工作，有必要研究基于机器视觉的工业机器人的几何定位和颜色识别，以提高工业机器人的工作效率。本文建立了机器人零部件温室电动工作站精确定位的主动定位机器视觉系统。使用图像处理和基于形状的特征识别区域的匹配方法结合相结合阈值形状准则来识别对象特征。实验证明，该方法能够快速准确地获取物体边界和质心计算和识别数据，将机器人运动学结合机器人的实时运动控制以消除这种误差，满足工业机器人自对齐。