# AI Visual Inspection for Garment Production

arXiv: https://arxiv.org/abs/2608.21426 · HTML: https://mlsanity.com/paper/2608.21426/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 16 of its 48 references that are in the map.
- First posted on arXiv 16 Aug 2026.

## Builds on (most cited first, 16 of 16)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)
- [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://mlsanity.com/paper/1409.1556/) (2014)
- [EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks](https://mlsanity.com/paper/1905.11946/) (2019)
- [Going Deeper with Convolutions](https://mlsanity.com/paper/1409.4842/) (2014)
- [Rich feature hierarchies for accurate object detection and semantic segmentation](https://mlsanity.com/paper/1311.2524/) (2013)
- [CNN Features off-the-shelf: an Astounding Baseline for Recognition](https://mlsanity.com/paper/1403.6382/) (2014)
- [Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval](https://mlsanity.com/paper/1604.04994/) (2016)
- [Design and Experimental Study of Vacuum Suction Grabbing Technology to Grasp Fabric Piece](https://mlsanity.com/paper/2408.09504/) (2024)
- [Lean Methodology for Garment Modernization](https://mlsanity.com/paper/2410.07705/) (2024)
- [Design a New Pulling Gear for the Automated Pant Bottom Hem Sewing Machine](https://mlsanity.com/paper/2411.11306/) (2024)
- [Line Balancing in the Modern Garment Industry](https://mlsanity.com/paper/2502.00455/) (2025)
- [A Mixed-Integer Linear Programming (MILP) for Garment Line Balancing](https://mlsanity.com/paper/2502.17508/) (2025)
- [Innovative Automated Stretch Elastic Waistband Sewing Machine for Garment Manufacturing](https://mlsanity.com/paper/2503.18373/) (2025)
- [An Innovative Line Balancing for the Aluminium Melting Process](https://mlsanity.com/paper/2504.02857/) (2025)
- [AI Magnetic Levitation (Maglev) Conveyor for Automated Assembly Production](https://mlsanity.com/paper/2506.08039/) (2025)
- [Automated Seam Folding and Sewing Machine on Pleated Pants for Apparel Manufacturing](https://mlsanity.com/paper/2508.06518/) (2025)

## Abstract (arXiv)

The garment manufacturing industry is under increasing pressure to improve product quality, reduce costs, and accelerate digital transformation toward Industry 4.0. One of the most challenging quality-control activities is sewing-line inspection, where defects such as broken stitches and skipped stitches are difficult to detect consistently through manual inspection. Human-based inspection is often affected by fatigue, subjective judgement, and inconsistent performance, resulting in defect leakage, rework, and reduced production efficiency. This study presents the development and validation of an Artificial Intelligence (AI)-based visual inspection system for garment sewing-line quality control. The system utilizes Convolutional Neural Networks (CNNs) to detect sewing defects and was initially trained using black fabric and black sewing thread samples. Experimental testing was conducted on black, red, dark green, light blue, silver, and fluorescent yellow fabrics. The results demonstrated successful detection of jump sewing-line defects on black, red, and dark green materials, while performance limitations were observed for broken sewing-line defects and fabrics with significantly different visual characteristics, including light blue, silver, and fluorescent yellow colours. These findings indicate that model accuracy is strongly influenced by the diversity of training data and the ability to generalize across different fabric and thread colours.