The Application of an Intelligent System in Digital Weave Design: Optimising Light Intensity and Font Selection for Enhanced Fabric Creation

Sultan Ullah; Danish Mahmood  Baitab; Muhammad Dawood Husain; Syed Talha Ali Hamdani

doi:10.14502/tekstilec.68.2024108

Authors

Sultan Ullah Department of Mechanical Engineering, Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų 56, LT-51424, Kaunas, Lithuania; Department of Textile Engineering, School of Engineering & Technology, National Textile University, Sheikhupura Road, Faisalabad-37610, Pakistan Author https://orcid.org/0000-0003-1233-1926
Danish Mahmood Baitab Department of Textile Engineering, School of Engineering & Technology, National Textile University, Sheikhupura Road, Faisalabad-37610, Pakistan Author https://orcid.org/0000-0002-8186-4606
Muhammad Dawood Husain Textile Engineering Department, NED University of Engineering & Technology Karachi, Pakistan Author https://orcid.org/0000-0001-6317-7127
Syed Talha Ali Hamdani Department of Textile Engineering, School of Engineering & Technology, National Textile University, Sheikhupura Road, Faisalabad-37610, Pakistan Author https://orcid.org/0000-0002-3937-8890

DOI:

https://doi.org/10.14502/tekstilec.68.2024108

Keywords:

digital weaving, optimization, intricate designs, Jacquard, intelligent systems

Abstract

The increasing demand for creative and aesthetically pleasing fabric designs has been facilitated significantly by advances in software engineering, enabling textile designers to meet these challenges more effectively. Complex designs that were once difficult or nearly impossible to produce are now readily available with the aid of specialized software. However, the use of such software necessitates a high level of skill and experience, and there is limited literature on its performance under varying environmental conditions. This research focuses on the application of digital weaving software to identify best practices for font selection and considers the impact of light intensity on image capture. The statistical analysis reveals a strong linear correlation between light intensity and variation in unbroken floats. The study's findings recommend specific font styles for writing text on fabric selvedge and suggest an optimal light intensity range for camera-based image capture, which is crucial for subsequent software processing. These insights are expected to assist textile technologists in creating fabric selvedge with woven text more efficiently.

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