Automatic Wire-Harness Color Sequence Detector

TL;DR

This paper presents a semi-automated machine vision system for wire harness inspection that verifies wire positioning, connector polarity, and color sequences, achieving high accuracy and efficiency in industrial settings.

Contribution

The paper introduces a novel semi-automated inspection system using multi-camera vision and color comparison for wire harness verification, with real-world deployment and significant efficiency gains.

Findings

Achieved 100% detection accuracy in real-world testing.

Reduced inspection time by 44% compared to manual methods.

System is adaptable to different harness types with minimal training.

Abstract

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.