碗形塞加工误差双目视觉在线检测方法

碗形塞主要用于堵塞发动机工艺孔，其加工精度高，直径尺寸公差要求在微米数量级。目前对碗形塞的加工误差检测主要还是人工检测方式，人工检测精度低且不能满足现代化生产的在线检测要求，因此提出利用双目视觉实现碗形塞加工误差在线检测的方法，将碗形塞放在一个旋转机构上匀速旋转，利用两台平行方向放置的摄像机采集碗形塞直径端面的多组图像，通过所提出的端面杂质去除方法校正检测结果，再通过数据处理获得碗形塞直径和锥度的加工误差。搭建了基于双目视觉的碗形塞加工误差在线检测系统并进行在线测试，测试结果表明该方法能够满足碗形塞的测量要求并实现在线检测。

Online detection method of binocular vision based on mechanical error for bowl plug

Bowl plugs were mainly used for plugging auxiliary holes on the engines, the processing precisions were high,required diameter tolerance was micrometer. At present the bowl plugs mechanical errors were mainly manual detections, manual detections precisions were low and can not meet the requirements of modern production online detections. Therefore proposes a method of used binocular vision to detect bowl plugs machining errors, put the bowl plugs on a rotating mechanism for constant speed rotations, two parallel cameras acquire multi groups diameter end face images. Used the proposed end face impurity removal method calibration test results, through data processing to obtain bowl plugs diameters and tapers mechanical errors. Set up a binocular vision online detection system for bowl plugs machining errors. The test results show that this method can meet the bowl plugs detection requirements and achieve online detections.