| Title |
The application of an intelligent system in digital weave design: optimising light intensity and font selection for enhanced fabric creation |
| Authors |
Ullah, Sultan ; Baitab, Danish Mahmood ; Husain, Muhammad Dawood ; Syed Talha, Ali Hamdani |
| DOI |
10.14502/tekstilec.68.2024108 |
| Full Text |
|
| Is Part of |
Tekstilec.. Ljubljana : University of Ljubljana press. 2025, vol. 68, iss. 2, p. 1-12.. ISSN 0351-3386. eISSN 2350-3696 |
| Keywords [eng] |
digital weaving ; optimization ; intricate designs ; Jacquard ; intelligent systems |
| Abstract [eng] |
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. |
| Published |
Ljubljana : University of Ljubljana press |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
