自动检测线束颜色序列，提升电子制造质检效率
Automatic Wire-Harness Color Sequence Detector
- 基于HSV与RGB色彩对比的分类器识别颜色顺序
- 部署后检测准确率达100%，效率提升44%
- 支持多相机模块化设计，可复用训练模型
现代电子制造服务（EMS）行业中的线束检测仍依赖人工，易出错且效率低。本文提出一种半自动化机器视觉系统，可验证线束位置、连接器极性及线束颜色序列的正确性，适用于线性和环形配置。系统集成五台工业标准CMOS相机，构建模块化机械结构，并采用基于HSV与RGB色彩域值比对的颜色序列分类器。每批线束可通过至少五个参考样本进行训练，训练文件可存储并用于相似类型线束的重复使用。该方案已在GPV Lanka Pvt. Ltd.部署（图2），实现100%检测准确率，较人工方法节省44%时间。系统还具备用户管理、可调光照、会话数据存储和安全登录等附加功能。实际应用结果表明，该方法在真实场景中展现出可靠且高效的检测能力。
原文摘要 · Abstract (English)
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.
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