设备主动视觉的模板匹配自标定

摘要

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 calcu-late the calibration results;Gives the principle, process, and fault tolerance method of self-calibration, suitable for multi-objective sit-uation. 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 posi-tioning accuracy can reach 13.947 um based on the method, which can meet the calibration requirements of the relevant equipment.%为简化自动化设备视觉定位平台的标定流程，减少对标准块的依赖并实现标定自动化，本文提出了基于模板匹配的主动视觉自标定方法，依靠平台运动时拍摄到的图片，实现任意场景目标的识别，然后建立模型对运动位置进行标定；给出了视觉自标定的原理、流程和容错方法，适用于多目标的情形；整个过程由粗到精分3圈进行，根据匹配位置自动计算标定结果，使标定更加实用化与通用化。所提方法成功应用于LED平面固晶机中，结果表明该方法精度可达13.947μm，能满相关自动化设备的视觉标定要求。