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Sensors 2017, 17(6), 1440; doi:10.3390/s17061440

Rapid Global Calibration Technology for Hybrid Visual Inspection System

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
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Academic Editors: Thierry Bosch, Aleksandar D. Rakić and Santiago Royo
Received: 23 April 2017 / Revised: 30 May 2017 / Accepted: 3 June 2017 / Published: 19 June 2017
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Abstract

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. View Full-Text
Keywords: global calibration; hybrid visual inspection; industrial robot; rapid; homography global calibration; hybrid visual inspection; industrial robot; rapid; homography
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Liu, T.; Yin, S.; Guo, Y.; Zhu, J. Rapid Global Calibration Technology for Hybrid Visual Inspection System. Sensors 2017, 17, 1440.

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