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Real time inspection of assembled valve keys in cylinder heads using CCD cameras

机译:CCD摄像机气缸磁头组装阀门键的实时检查

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The paper presents a vision-based approach for real time inspection and recognition of the assembled valve keys in automobile cylinder heads. The vision solution should be flexible enough to adapt with the valve keys of different cylinder head types according to the requirements. The vision investigation includes cameras, infrared illumination, and an image-processing algorithm. The results of the image-processing algorithm show that either it has found the valve keys in its correct assembled position or not. The total number of correctly positioned valve keys that have been passed by the vision station is also calculated. The inspection is done in real time as cylinder heads are continuously moving on the transportation line. Using images obtained from the camera, we first find the position of the center point of the tappet. Then as a first check angular misalignment of the valve shaft is found out and ultimately as a final check diameter of the valve key is found out. The rejected cylinder heads from the vision station were separated afterwards from the main stream of the transportation line. In the statistics obtained, the vision solution has successfully rejected most of the wrongly assembled valve keys. The false rejection rate was also lower than 0.2% of the total number of the valve keys investigated.
机译:本文提出了一种基于视觉的实时检查和识别汽车缸盖组装阀门键的识别方法。视觉溶液应足够灵活,可根据要求适应不同气缸盖类型的阀门键。视觉调查包括摄像机,红外照明和图像处理算法。图像处理算法的结果表明它已经发现阀门键在其正确的组装位置。还计算了通过视觉站过去的正确定位的阀门键的总数。随着圆柱头连续移动运输线,检查是实时完成的。使用从相机获得的图像,我们首先找到挺杆的中心点的位置。然后,作为第一个检查角度轴的角度未对准,最终发现阀门键的最终检查直径。从视觉站的被拒绝的圆柱头从运输线的主流之后分开。在获得的统计数据中,视觉解决方案已成功拒绝大部分错误组装的阀门键。假抑制率也低于调查阀门键总数的0.2%。

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