Innovative surface inspection with multispectral technology and artificial intelligence

Important results from the project

The YTFEL 2 project has shown that it’s possible to automatically detect surface defects on steel products using smart camera technology and AI. The system was tested in real industrial environments and achieved very high accuracy. The results pave the way for future solutions where quality control happens in real time, helping reduce scrap, save resources, and improve working conditions. The project also led to new collaborations, methods, and a roadmap for future implementation.

Expected long term effects

The YTFEL 2 project is expected to have long-term impact by enabling real-time quality control in steel production. This can significantly reduce scrap, improve material efficiency, and enhance sustainability. The validated AI-based system lays the foundation for future industrial applications in process optimization and predictive maintenance. The project also strengthens collaboration between industry and research, and supports the transition toward data-driven manufacturing environments.

Approach and implementation

The project followed the planned structure with the right activities in each phase. The timeline was kept, and no unexpected events or external factors affected the execution. Collaboration between industry partners, research institutes, and academia worked very well and contributed to an efficient and goal-oriented process. The project developed as intended and laid a solid foundation for future applications.