Department of Electrical Engineering, National Central University, Taoyuan 32001, Taiwan.
Sensors (Basel). 2022 Aug 6;22(15):5885. doi: 10.3390/s22155885.
Given the huge demand for wire in today's society, the quality of the wire is especially required. To control the quality of the produced wire, the industry has a great desire for automated optical inspection technology. This technology is a high-speed and highly accurate optical image inspection system that uses mechanical sensing equipment to replace the human eye as the inspection method and simulates manual operation by means of a robotic arm. In this paper, a high-performance algorithm for the automated optical inspection of wire color sequence is proposed. This paper focuses on the design of a high-speed wire color sequence detection that can automatically adapt to different kinds of wires and recognition situations, such as a single wire with only one color, and one or two wires covered with aluminum foil. To be further able to successfully inspect even if the wire is short in the screen and the two wires are close to each other, we calculate the horizontal gradient of the wires by edge detection and morphological calculation and identify the types and color sequences of the wires in the screen by a series of discriminative mechanisms. Experimental results show that this method can achieve good accuracy while maintaining a good computation speed.
鉴于当今社会对线的巨大需求，对线的质量尤其有要求。为了控制所生产的线的质量，该行业非常渴望采用自动化光学检测技术。该技术是一种高速、高精度的光学图像检测系统，使用机械感应设备来代替人眼作为检测方法，并通过机械臂模拟手动操作。本文提出了一种用于线材颜色序列自动化光学检测的高性能算法。本文专注于设计一种高速线材颜色序列检测，可以自动适应不同种类的线材和识别情况，例如只有一种颜色的单根线材，以及一根或两根线材带有铝箔。为了即使在屏幕中线材较短且两根线材彼此靠近的情况下也能成功进行检测，我们通过边缘检测和形态学计算来计算线材的水平梯度，并通过一系列判别机制来识别屏幕中线材的类型和颜色序列。实验结果表明，该方法在保持良好计算速度的同时，能够实现良好的准确性。
