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Deformation identification and estimation of one‐dimensional objects by vision sensors

机译:视觉传感器对一维物体的变形识别和估计

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AbstractUsing vision sensors to study object deformation is introduced in this article. The vision sensor is used to identify the deformation characteristic and estimate the deformation behavior of flexible beams. First, a nonlinear equation describing the deformation of the beam is given. Then, cubic spline functions are used to approximate the contour of the deformed beam after the beam is detected by the vision sensor. Using the cubic spline approximation and Maclaurin's series expansion, a procedure to determine the deformation characteristic is formulated. To estimate the deformation behavior, numerical differential method to solve the nonlinear equation is used. The error of this numerical method can be controlled with the aid of the vision sensor. Finally, experimental results are given to verify that the proposed methods are effective.
机译:摘要 本文介绍了使用视觉传感器研究物体变形的方法。视觉传感器用于识别柔性梁的变形特性并估计变形行为。首先,给出了描述梁变形的非线性方程。然后,利用三次样条函数,在视觉传感器检测到变形梁后,对变形梁的轮廓进行近似。利用三次样条近似和麦克劳林级数展开,制定了确定变形特性的程序。为了估计变形行为,采用数值微分法求解非线性方程。这种数值方法的误差可以借助视觉传感器进行控制。最后,通过实验验证了所提方法的有效性。

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