Overview

The FABVIS (Vision-Based Fabric Defect Detection) project, is a pioneering creation by the Intellisense Lab within the Department of Computer Science and Engineering at the University of Moratuwa, Sri Lanka. My role focused on designing a web dashboard to streamline efficient configuration and provide access to the fabric detection system's settings to the textile engineers.

Process

This project started with a thorough exploration of the role of technology in the textile industry. Through collaboration with industry peers, I gained valuable insights that guided me to make design decisions. First of all, I developed a comprehensive wireframe for the website, which, upon stakeholder approval, provided the foundation for the design. After that, I designed a digital prototype of the website and gave the prototype to the development team.

Challenges Faced

One of the main challenges I faced was the strict time frame of the project. To address this, I employed strategic milestone planning and consistent stakeholder engagement. Regular feedback loops ensured design iterations aligned seamlessly with evolving needs, leading to a punctual project completion.

Accomplishments

Recently the project obtained a Patent Cooperation Treaty (PCT) with an International Search Report (ISR) indicating novelty in 100% of its claims, and currently it’s getting prepared for the commercialization by the IntelliSense Lab

• More Information about the Patent Cooperation Treaty and commercialization of the product.

More Information

For a comprehensive exploration of project details, I encourage you to watch the videos below. The second video, while in Sinhala, offers detailed insights into the project's development and features.