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Automatic Optical Inspection System for Wire Color Sequence Detection.

Tsung-Han Tsai¹, Chun-Sheng Cheng¹

¹Department of Electrical Engineering, National Central University, Taoyuan 32001, Taiwan.

Sensors (Basel, Switzerland)

|August 12, 2022

Summary

This summary is machine-generated.

This study introduces a high-speed automated optical inspection algorithm for wire color sequence detection. The developed method accurately identifies wire types and colors, even with challenging conditions like short wires or foil coverings.

Keywords:

automated optical inspection color recognition computer vision surveillance system

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Area of Science:

Materials Science
Computer Vision
Manufacturing Engineering

Background:

Increasing demand for wire necessitates stringent quality control.
Automated optical inspection (AOI) offers a high-speed, accurate alternative to manual wire inspection.
Existing AOI systems require adaptation for diverse wire types and complex inspection scenarios.

Purpose of the Study:

To propose a high-performance algorithm for automated optical inspection of wire color sequences.
To design a system capable of adapting to various wire types and recognition situations, including single-color wires and those with aluminum foil.
To ensure reliable inspection of short wires and closely positioned wires.

Main Methods:

Developed a high-speed wire color sequence detection algorithm.
Utilized edge detection and morphological calculations to compute horizontal gradients of wires.
Implemented a series of discriminative mechanisms for identifying wire types and color sequences.

Main Results:

The proposed algorithm demonstrates good accuracy in wire color sequence detection.
The system maintains a favorable computation speed, suitable for industrial applications.
Successfully addressed challenges such as short wire segments and proximity of multiple wires.

Conclusions:

The developed algorithm provides an effective solution for automated optical inspection of wire color sequences.
The method's adaptability and accuracy make it valuable for enhancing wire quality control in manufacturing.
This AOI technology can significantly improve inspection efficiency and reliability.