An automotive tire visual laser marking robot system based on multi-information fusion

Abstract

As smart manufacturing technology continues to advance, laser marking robots have been applied to automotive tire marking, revolutionizing the traditional manual process. In order to improve productivity, these robots face challenges posed by tire positioning, environmental variations, and the light-absorbing properties of the material. In order to solve the problem, a robot vision modeling method based on the fusion of the 3D point cloud information and 2D image information on the surface of automotive tires is presented and is used to construct a visual laser marking robot system for automotive tires. The constructed visual laser marking robot system for automotive tires has been tested and the results show that the laser marking is more effective compared to the traditional manual marking process; the laser marking robot system equipped with a multi-information fusion vision model increases the marking success rate by 8%, increases the speed by nearly nine times, reduces the waste tire rate by 8%, and reduces the economic consumption by nearly 56 times; compared with a single vision information marking robot system, the marking success rate increases by 3% and the tire waste rate reduces by 3%.

Keywords

Information fusion / vision modeling / robot / automotive tire / laser marking