基于机器视觉的铸件分拣检测系统的研究综述

Research summary of casting sorting detection system based on machine vision

  • 摘要: 传统的铸件分拣检测由人工进行,其劳动强度大且容易因疲劳产生视觉误差以及有些铸件存在微小缺陷人眼难以识别,因而机器视觉技术在铸件分拣领域表现出了良好的应用前景。基于此,详细分析和探讨了机器视觉技术分拣检测系统的组成、关键技术以及机器视觉在缺陷检测和分拣机器人上的应用现状。最后对未来铸件分拣的发展趋势做出了展望。

     

    Abstract: The traditional casting sorting detection is carried out manually, which is labor-intensive and prone to visual errors due to fatigue, as well as some castings with small defects that are difficult to identify by the human eye. Therefore, machine vision technology has shown a good application prospect in the field of casting sorting. Based on this, the composition and key technologies of the sorting detection system of machine vision technology and the application status of machine vision in defect detection and sorting robots are analyzed and discussed in detail. Finally, the future development trend of casting sorting is prospected.

     

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