WELDVISI will create a new sensor-based assistance system for manual manufacturing with real-time cognitive feedback and documentation of parameters.
This project will develop a prototype for a cognitive support system (CSS) that provides interactive feedback for a manual operator in production in real time. Physical data registered via sensors in a handheld tool will be sent to a local or cloud-based documentation and quality analysis system. After instant processing, production and quality information will be visualised for the operator via an in-helmet mounted CSS. This will support the operator and enable increased knowledge, confidence, quality, and productivity. It will reduce manual documentation work, improve working conditions, and the image of workers in production. The potential for this project and the CSS that will be developed is therefore large and news value and originality are high.
In the project, the CSS will be developed for applications in manual welding since both a large need and a large possibility exist to positively influence the work environment and the training capabilities for many workers. There are 25.000 full-time manual welders in Sweden and 200.000 more utilise welding partly in their manufacturing. There is also a large shortage of skilled welders. The CSS supports the welder through real time feedback of data and good advice which will increase quality of the work and the possibility to maintain it. The system will also aid older personnel that starts to lose accuracy due to aging.
This project addresses P2030 Challenge area 4 by supporting the operator in the production system by cognitive support, areas 3 and 1 are also partly addressed as well as UN Sustainable Development Goals No: 8, 9, and 12.
The project will run 2.75 years with 5 WP:s and 12 partners, of which 2 are SME:s and one school.
Kunskapsförmedlingen 
