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Novel industrial robot sorting technology based on machine vision

机译:基于机器视觉的新型工业机器人分拣技术

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A traditional sorting system generally adopts teaching or off-line programming. It cannot make an adjustment at once when the work environment changes. Aiming at the shortcomings of the traditional way of sorting, an industrial robot sorting system was investigated based on robot vision for Parallel robot and Cognex In - Sight 7000 series industrial intelligent camera. The system integrated the advantages of the visual system and the parallel robot system. To make some corresponding improvements of classical Canny edge detection operator, and extract the image edge information as matching feature. It overcomes the impact of illumination on the visual system. The visual system can automatically recognize position and classification information of objects when the sorting objects come into the camera view through the conveyor belt. The system significantly improves the robot's ability to adapt to the working environment, and the production efficiency, making the system more flexible. At the same time, the experimental results show that the hardware and software design of the system is correct, and it has high sorting success rate.
机译:传统的分类系统通常采用教学或离线编程。当工作环境改变时,它无法立即进行调整。针对传统分拣方式的不足,研究了基于机器人视觉的并行机器人和康耐视In-Sight 7000系列工业智能摄像机的工业机器人分拣系统。该系统整合了视觉系统和并行机器人系统的优势。对经典的Canny边缘检测算子进行相应的改进,提取图像边缘信息作为匹配特征。它克服了照明对视觉系统的影响。当分类对象通过传送带进入摄像机视图时,视觉系统可以自动识别对象的位置和分类信息。该系统显着提高了机器人适应工作环境的能力和生产效率,使系统更加灵活。同时,实验结果表明,该系统的软硬件设计正确,排序成功率高。

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