- Kyle Kearly
- Charles Rysenga
- Matthaeus Saavedra
To improve and replace the current vision system used by ArcelorMittal in its steel production process. The new vision system must be quicker and more reliable than the current system.
ArcelorMittal is the world’s leading steel and mining company and produces 1/3 of the world’s steel. ArcelorMittal came to our enterprise with the task of improving their current vision system they use to track a large bin of molten steel for transfer. The current system uses a laser guided system to track the location of the bin and guide a robotic arm to the nozzle located on the bottom of the bin to extract the molten steel. The problem with the current system is that it is slow and sometimes unreliable.
Our team has developed a new system that uses three cameras to create and track the 3D position of the bin. The cameras use blue filters and lights to wash out the large amount of inferred light generated by the molten steel to allow the cameras to properly track the bin. The data collected by the camera systems is used to control the robotic arm to properly position it to transfer the molten steel to be processed elsewhere in the plant. Our prototyped system has shown a great improvement in speed and reliability with the new vision system. It is being installed in the factory at the end of the semester. With the completion of this project, ArcelorMittal will be introducing another vision system project for our enterprise to complete in the near future.