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    Method and apparatus of automatically identifying faults in a machine vision measuring system
    1.
    发明授权
    Method and apparatus of automatically identifying faults in a machine vision measuring system 有权
    自动识别机器视觉测量系统故障的方法和装置

    公开(公告)号：US06323776B1

    公开(公告)日：2001-11-27

    申请号：US09468743

    申请日：1999-12-21

    申请人： David A. Jackson ,  Hoshang Shroff ,  Donald J. Christian ,  Stephen Glickman

    发明人： David A. Jackson ,  Hoshang Shroff ,  Donald J. Christian ,  Stephen Glickman

    IPC分类号： G08B2100

    CPC分类号： G06K9/6211 ,  G01B11/00 ,  G01B11/2755 ,  G01B2210/14 ,  G01B2210/26 ,  G01B2210/30 ,  G05B19/401 ,  G05B19/4184 ,  G05B2219/32207 ,  G05B2219/33327 ,  G05B2219/37205 ,  G05B2219/45019 ,  Y02P90/14

    摘要： An apparatus and method for automatically identifying faults in the operation of a machine vision measuring systems provides an improved self-diagnostic capability for machine vision based metrology and tracking systems. The method and apparatus validate performance of tracking operations, and detect deterioration that may be caused by electronic noise, environmental contamination, etc. A mathematical model of the target visualized by the system is created and stored. A target is imaged in the field and fiducials of the target are identified. Centroid positions of detected fiducials of the imaged target are compared to the centroid positions of fiducials in the mathematical model. When a fiducial is obscured or dirty, its geometric characteristics (such as centroid, brightness, edge smoothness, area, or shape) differ from the true or idealized values of the characteristics. Values representing detected fiducials are discarded when the offset exceeds predetermined criteria, or when its properties vary from ideal. If the remaining number of detected fiducials is below a predetermined threshold, a warning message is displayed or an error is generated. Thus, when a fault is detected that degrades performance beyond a preset tolerance, the fault is flagged for attention and a suggested corrective action is displayed.

    摘要翻译： 用于自动识别机器视觉测量系统的操作中的故障的装置和方法为基于机器视觉的计量和跟踪系统提供了改进的自诊断能力。 该方法和装置验证跟踪操作的性能，并且检测可能由电子噪声，环境污染等引起的劣化。创建并存储由系统可视化的目标的数学模型。 目标在场中成像，并确定目标的基准。 将检测到的成像目标基准点的质心位置与数学模型中基准点的质心位置进行比较。 当基准被遮蔽或弄脏时，其几何特征（如质心，亮度，边缘平滑度，面积或形状）与特征的真实或理想值不同。 当偏移超过预定标准时，或当其性质与理想变化时，表示检测到的基准的值被丢弃。 如果检测到的基准的剩余数量低于预定阈值，则显示警告消息或产生错误。 因此，当检测到故障将性能降低到预设容差以下时，将该故障标记为需要注意，并显示建议的纠正措施。