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This study aims to improve fabric inspection efficiency and reduce cognitive load using an automated system supplemented by skilled inspectors.

A Human-in-the-Loop Automated Fabric Inspection System: A Case Study on Retrofit Implementation and Work Efficiency

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This study aims to improve fabric inspection efficiency and reduce cognitive load using an automated system supplemented by skilled inspectors.
Implemented a human-in-the-loop automated inspection system in a jeans manufacturing factory.
Utilized a real-time models for object detection (RTMDet) for defect scanning.
Enhanced existing inspection machines through a low-cost hardware and software retrofit.
Inspection task efficiency increased by approximately 2.5 times compared to manual inspection.
Significant reduction in operator cognitive load was observed.
Enabled parallel tasking for human operators during the inspection process.

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Case study shows improved efficiency in fabric inspection using AI and human collaboration, suggesting a practical solution for SMEs.

Liu et al. (2026) studied this question.

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