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. The main goal of this project to automate the defect finding process in the textile industry. The project aims to provide a solution that can be integrated into existing textile manufacturing processes to improve efficiency and reduce costs.
In this project my role was focused on designing the web dashboard to streamline efficient configuration and provide access to the fabric detection system's settings to the textile engineers.
One of the main challenges I faced was the strict time frame of the project. To address this, I used milestone planning and consistent stakeholder engagement. Regular feedback loops ensured design iterations aligned with the stakeholders needs, leading to a punctual project completion.
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.
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.