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Detection of Defects on Moving Cables in Extrusion Lines Using Machine Learning and Prototype Development

Intelligent Defect Detection System for Cable Production Lines


This system was developed to monitor production quality in real-time on high-speed cable extrusion lines, automatically detecting surface defects that are nearly impossible for the human eye to perceive. Powered by machine learning-based image processing technology, physical deformations and printing errors on the cable are identified within milliseconds.

Featuring a portable mechanical design with 360-degree surface scanning capability, this flexible system easily adapts to various cable diameters. It offers significantly higher accuracy and cost advantages compared to traditional methods.

This project is supported by KOSGEB.