AI Repair Module: Repurposing machines in the textile industry for automated repair

Purpose and goal: ** Denna text är maskinöversatt **

The project aims to automate sewing machines, leading to increased efficiency and productivity. By reducing the skill requirements, profitability for companies in the industry can increase. Sustainability is taken into account by enabling repair and reuse.

The results show that it is possible to make programmable machines available to mend textile products where the mending pattern is automatically generated. The machines can perform repairs independently while the operator prepares the next product, increasing efficiency and quality. Expected results and effects:

** Denna text är maskinöversatt ** Results: Camera can be connected Assembly of clothes works AI and algorithms developed and creates repair patterns. Repair patterns are sent to machine The machine sews according to calibrated coordinate system with camera and software. Expected effects:

Useful 1-2-years through commercialization in collaboration with machine manufacturers where software and hardware offer repair machines. Textile companies become primary users of automated machines for repair. More user-friendly machines lower skill requirements, for equality. Approach and implementation:

** Denna text är maskinöversatt **

Through collaborations with Science Park Borås and Wargön, we have secured the latest research for a solid project start. Under AP 1 we held four workshops with UX and AI developers and started software development to identify bottlenecks. We used process mapping and flowcharts to map the entire process and create an MVP.

In work package 2, we also used process mapping to validate development areas and identify bottlenecks. Work Package 3 focused on testing patches on jeans to identify practical bottlenecks and reach TRL 2.