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| Self-calibration of Equipment Active Vision Using Template Matching |
| Su Ming，Li Di，Li Song，Dong Liang |
| College of Mechanical Engineering, South China Univ. of Tech. |
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Abstract To simplify the visual positioning platform calibration process of automation equipment, reduce the reliance on the
standard block and realize the automatic calibration, this paper presents a visual self-calibration method based on template matching,
relying on the platform motion captured images to recognize the target of any scene, and then builds a mathematical model to calculate
the calibration results; Gives the principle, process, and fault tolerance method of self-calibration, suitable for multi-objective situation.
The whole process calculates the calibration results from coarse to fine points with 3 laps automatically, making calibration
more practical and generalization. The proposed method is successfully applied to the LED die bonder. The results show that positioning
accuracy can reach 13.947 um based on the method, which can meet the calibration requirements of the relevant equipment.
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Published: 08 November 2017
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Corresponding Authors:
College of Mechanical Engineering, South China Univ. of Tech.
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