论文标题
计算机视觉应用，以提高花岗岩制造业的产品可追溯性
Computer vision application for improved product traceability in the granite manufacturing industry
论文作者
论文摘要
花岗岩块的可追溯性在于用代表数值代码的有限数量的颜色频段来识别每个块。在整个制造过程中，必须多次读取此代码，但其准确性受到人体错误的约束，从而导致可追溯性系统的故障。提出了一个计算机视觉系统，以通过颜色检测和相关代码的解密来解决此问题。开发的系统利用了颜色空间转换，以及几个阈值来隔离颜色。实施了计算机视觉方法，以及用于颜色识别的轮廓检测程序。最后，几何特征的分析用于解密捕获的颜色代码。所提出的算法对在不同环境条件下拍摄的109张图片进行了训练，并在一组21张图像上进行了验证。结果显示出令人鼓舞的结果，在验证过程中的准确率为75.00％。因此，提出的申请可以帮助员工减少产品跟踪中的错误数量。
The traceability of granite blocks consists in identifying each block with a finite number of color bands which represent a numerical code. This code has to be read several times throughout the manufacturing process, but its accuracy is subject to human errors, leading to cause faults in the traceability system. A computer vision system is presented to address this problem through color detection and the decryption of the associated code. The system developed makes use of color space transformations, and several thresholds for the isolation of the colors. Computer vision methods are implemented, along with contour detection procedures for color identification. Lastly, the analysis of geometrical features is used to decrypt the color code captured. The proposed algorithm is trained on a set of 109 pictures taken in different environmental conditions and validated on a set of 21 images. The outcome shows promising results with an accuracy rate of 75.00% in the validation process. Therefore, the application presented can help employees reduce the number of mistakes on product tracking.
