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Transforming the Garment Industry: Leveraging AI and Computer Vision for Automation, Quality Control, and Sustainable Growth.

Students & Supervisors

Student Authors
Khandoker Mainul Islam
Bachelor of Science in Electrical & Electronic Engineering, FE
Md Shahriar Hossain
Bachelor of Science in Electrical & Electronic Engineering, FE
Junayed Khan Nafi
Bachelor of Science in Electrical & Electronic Engineering, FE
Syed Minhazul Hoque
Bachelor of Science in Electrical & Electronic Engineering, FE
Supervisors
Prof. Dr. Mohammad Nasir Uddin
Professor, Head [graduate Program], FE

Abstract

Labor shortages, changing trends, and increased customer demands plague the garment sector. However, AI in garment automation and computer vision for quality control provide disruptive solutions. AI- driven automation makes production processes more error-free by react- ing to demand and design changes. AI improves operational efficiency by monitoring worker performance and enabling human-machine collabora- tion. Garment faults are recognized more accurately using Faster RCNN algorithms, and improving quality control. Real-time data analysis and predictive maintenance improve textile industry operations. Although ethical issues like AI deployment, workforce treatment, and environmen- tal effect remain important, the sector can grow sustainably by stressing upskilling and ethics. Test findings show a 90% accuracy in flaw de- tection within samples at 23-27 cm. This study demonstrates AI's role in improving efficiency, defect detection, and sustainability in garment manufacturing.

Keywords

Artificial Intelligence Computer Vision for Quality Con- trol Automation in Textile Manufacturing Faster R-CNN Defect De- tection Labor Shortages Operational Efficiency Optimization.

Publication Details

  • Type of Publication: Conference 
  • Conference Name: 2nd International Conference on Computing and Machine Learning (CML 2025)
  • Date of Conference: 22/03/2025 - 22/03/2025
  • Venue: Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sth Mile, Tadong, Gangtok, 737102, East Sikkim, India
  • Organizer: Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University ( Springer Nature)
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