Wire harness inspection process remains a labor-intensive process prone to errors in the modern Electronics Manufacturing Services (EMS) industry. This paper introduces a semiautomated machine vision system capable of verifying correct wire positioning, correctness of the connector polarity and correctness of color sequences for both linear and circular wire harness configurations. Five industrial standard CMOS cameras are integrated into a modularized mechanical framework in the physical structure of the solution and a HSV and RGB color domain value comparison based color sequence classifier is used in the operation. For each harness batch, a user can train the system using at least five reference samples; the trained file is stored and reused for similar harness types. The Solution is deployed at GPV Lanka Pvt. Ltd. (Fig. 2) and the system achieved 100% detection accuracy and reduced inspection time by 44% compared to manual methods. Additional features include user management, adjustable lighting, session data storage, and secure login. Results of this product usage in the real world situation demonstrate that this approach delivers reliable and efficient inspection capabilities.

翻译：在现代电子制造服务（EMS）行业中，线束检测过程仍是一项劳动密集型且易出错的工作。本文介绍了一种半自动化的机器视觉系统，能够验证线性和圆形线束配置中导线的正确位置、连接器极性的正确性以及颜色序列的正确性。该解决方案的物理结构中集成了五个工业标准CMOS摄像头，并采用基于HSV和RGB色彩域值比较的颜色序列分类器。对于每批线束，用户可使用至少五个参考样本对系统进行训练；训练文件将被存储并用于类似类型的线束。该系统已在GPV Lanka Pvt. Ltd.部署（图2），实现了100%的检测准确率，并将检测时间较人工方法缩短了44%。附加功能包括用户管理、可调照明、会话数据存储和安全登录。实际应用结果表明，该方法提供了可靠且高效的检测能力。