Applied research for camera-based measurement, identification, and process automation in steel production.
Selected work
In this project, we are involved in WP3, which focuses on advancing manufacturing machines and processes through AI models trained using a combination of real experimental data and synthetic data generated by physics-based simulations.
A system for automatic identification of steel billets using laser profilometers and camera systems. The solution captures each billet face as a 3D fingerprint and compares it with known profiles for real-time production tracking.
Camera system and software tools for measuring steel tube length, tracking tube positions on conveyors, and feeding timely data into production process control.
Design and development of a workstation for recognizing unique dot-matrix identifiers on steel billet faces after thermal processing.
Software model for tracking hardening furnace properties over time and supporting optimization of the billet rolling mill production process.
Automated identification of carrier and billet positions between rolling stands and saws, providing feedback needed for automated process control.
Applications
