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Rapid Global Calibration Technology for Hybrid Visual Inspection System

机译:混合视觉检测系统的快速全局校准技术

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摘要

Vision-based methods for product quality inspection are playing an increasingly important role in modern industries for their good performance and high efficiency. A hybrid visual inspection system, which consists of an industrial robot with a flexible sensor and several stationary sensors, has been widely applied in mass production, especially in automobile manufacturing. In this paper, a rapid global calibration method for the hybrid visual inspection system is proposed. Global calibration of a flexible sensor is performed first based on the robot kinematic. Then, with the aid of the calibrated flexible sensor, stationary sensors are calibrated globally one by one based on homography. Only a standard sphere and an auxiliary target with a 2D planar pattern are applied during the system global calibration, and the calibration process can be easily re-performed during the system’s periodical maintenance. An error compensation method is proposed for the hybrid inspection system, and the final accuracy of the hybrid system is evaluated with the deviation and correlation coefficient between the measured results of the hybrid system and Coordinate Measuring Machine (CMM). An accuracy verification experiment shows that deviation of over 95% of featured points are less than ±0.3 mm, and the correlation coefficients of over 85% of points are larger than 0.7.
机译:基于视觉的产品质量检查方法以其良好的性能和高效率在现代行业中扮演着越来越重要的角色。由具有柔性传感器和几个固定传感器的工业机器人组成的混合视觉检查系统已广泛应用于批量生产,尤其是汽车制造。本文提出了一种用于混合视觉检查系统的快速全局标定方法。首先基于机器人运动学对柔性传感器进行全局校准。然后,借助已校准的柔性传感器,基于单应性,逐一全局校准固定传感器。在系统全局校准期间,仅应用了标准球体和带有2D平面图案的辅助目标,并且可以在系统的定期维护期间轻松地重新执行校准过程。提出了一种混合检查系统的误差补偿方法,利用混合系统测量结果与坐标测量机(CMM)之间的偏差和相关系数,对混合系统的最终精度进行了评估。精度验证实验表明,特征点超过95%的偏差小于±0.3 mm,超过85%的相关系数大于0.7。

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