Time Data Management with AI, Computer Vision, and Digital Human Models.

September marks the official start of the TIMEBLY 2 project. Part of Vinnova’s investment in Advanced digitalization – Industrial innovation, the project will run from September 2025 to August 2028 with a total funding of SEK 6 524 600. The project builds on the success of the first TIMEBLY initiative that led to the publication of the Time Data Management Handbook.

TIMEBLY 2 aims to advance time data management in manual assembly by applying AI, computer vision, and digital human models. While simple flows are increasingly automated, complex manual assembly remains essential. The project focuses on achieving more precise time data, more efficient planning, and better workplace design.

Our contribution from Solme centers on our expertise in video-based motion analysis and extending this into time estimation. By working closely with industry, we also bring valuable insights to ensure that AI solutions are both user-friendly and ethically applied.

Participants include Chalmers University of Technology, University of Skövde, KTH, RISE, Solme AB (AVIX), IPS AB (IPS IMMA), Volvo CE, Saab, BAE Systems, Strömsholmen, and the MTM Association. Peter Almström (Chalmers) serves as project leader.

We look forward to working with this team on innovative technologies that will streamline manual assembly, improve operator well-being, and help companies remain competitive in an increasingly digital landscape.

Oskar Ljung (Solme AB), Peter Almström (Chalmers) and Mattias Silfver (Solme AB) at the final presentation of the TIMEBLY project.