An AI-powered image processing robot attaches fully automated labels with tying wires to bar steel bundles without using any welding process
Danieli Automation, in collaboration with Green Project, has successfully installed its pioneering Q-Robot ROLL BUNDLE TAG (Hook) system for Georgsmarienhütte GmbH (GMH), an electric steelmaker at Georgsmarienhütte, Germany.
This innovative solution attaches labels directly onto the tying wire of bundles by hooking them, eliminating the need for welding. The hook forming process is executed directly on the robot head, without additional auxiliary stations. This optimizes the installation area, reducing both maintenance and operating expenses. Achieving a 98% performance rate with subsequent Final Acceptance Certificate, the system ensures reliable bundle labelling.
An AI-based vision system continuously monitors the process, recognizing correctly inserted labels and allowing real-time intervention if needed. The certainty of correct tag application removes the need for human supervision, ensuring full traceability and preventing unmarked bundles from leaving the line. This autonomy significantly reduces operational costs, supporting an expected ROI in just six months. Additionally, with guaranteed tag attachment the customer now applies only one tag instead of two, optimizing OpEx costs.
The solution, currently under patent protection, also optimizes hook size cycle-by-cycle based on the tying wire’s position and geometry, further reducing material consumption.
This breakthrough marks the first, and unique, robot system of its kind, developed under a joint venture between Danieli and GMH. The success at GMH paves the way for additional installations on other finishing lines, reinforcing the strategic partnership between the two companies.
With its unmatched reliability, Danieli Automation continues to lead the industry with smart, cost-effective, and sustainable innovations that set new benchmarks in robotic solution.
