Real time vision-based measurements for quality control of industrial rods on a moving conveyor
Real time vision-based measurements for quality control of industrial rods on a moving conveyor
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DOI：
10.1007/s11042-017-4891-7
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发表时间：
2018-04
影响因子：
3.6
通讯作者：
K. Kottari;K. Delibasis;V. Plagianakos
中科院分区：
文献类型：
--
作者：
K. Kottari;K. Delibasis;V. Plagianakos
这项工作提出了一种基于视觉的制造金属棒质量控制的全自动方法。所提出的方法能够检测杆的主轴并计算其曲率，相对于规格。该算法利用单个单眼USB摄像机实时获取的视频。信号处理模块实时识别视频帧，图像杆在输送机上的适当位置。算法的初始化可以手动进行，也可以利用相机的校准。同时，图像处理模块使用棒的中间轴估计其曲率，将棒分类为正常或缺陷。初步结果表明，该算法可以在可控的光照条件和背景下实时运行，具有很高的精度。这种方法能够在通用笔记本电脑上以每秒30帧的速度处理视频。
This work proposes a fully automated approach for vision-based quality control of manufactured metal rods. The proposed approach is able to detect the main axis of the rod and calculate its curvature, versus specifications. The proposed algorithm utilizes video acquired in real time by a single mono-ocular USB camera. A signal processing module identifies in real time the video frame that images the rod at the appropriate position on the conveyor. Initialization of the algorithm can take place either manually, or by utilizing the calibration of the camera. Concurrently, the image processing module estimates the curvature of the rod using its medial axis, to classify the rod as normal or defect. Initial results show that the proposed algorithm can operate in real time with very high accuracy under controlled illumination conditions and backgrounds. This methodology is capable of processing video at 30 frames per second, using a general purpose laptop.