基于视觉的两级输送棒料计数分划系统研究

Guojun Chen, Yang Wu
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引用次数: 0

摘要

提出了一种基于视觉的两级输送棒材自动计数系统。该系统通过图像处理算法解决了大量钢筋堆的粘着和相对滑动计数问题。通过对分切端分切机的改进,采用两步分切和目视验证的设计,实现了对堆垛钢筋的准确分切。该系统明显降低了对安装空间的要求,可以更有效地利用钢筋车间的空间。该系统运行速度快,精度高,对生产线的改动小,维护方便。它不仅可以满足生产的需要,而且大大提高了现有计数系统的效率。适用于安装空间有限的钢筋车间。实验结果表明,该系统能准确地计数棒材,并能准确地实现钢的分离。对于直径8-12mm的棒材,计数精度在99.85%以上,对于直径大于12mm的棒材,计数精度在99.96%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Two-stage Conveying Bar Counting and Dividing System Based on Vision
A vision-based automatic bar counting system for two-stage conveying bars is proposed. The system solves the counting problems of sticking and relative sliding of a large number of rebar stacks through image processing algorithms. Through the improvement of the splitting end splitting machine, the design of two-step splitting and visual verification is adopted to achieve accurate splitting of stacked rebars. The system obviously reduces the requirements for installation space, and can make more effective use of the space in the rebar workshop. The system has fast running speed, high accuracy, small changes to the production line, and easy maintenance. It can not only meet the needs of production, but also greatly improve the efficiency of the existing counting system. It is suitable for rebar workshops with limited installation space. The experimental results show that the system can accurately count the bars and can accurately realize the steel separation. For bars with a diameter of 8-12mm, the counting accuracy is over 99.85%, and for bars with a diameter greater than 12mm, the counting accuracy is over 99.96%.
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