A Maglev Gap Measurement Method based on Machine Vision

During the gap measurement of maglev system, aiming at the problem that gap sensor is easily affected by temperature, flatness of detection surface, inconvenient installation and other factors, a method of maglev gap measurement based on machine vision is proposed. First, according to the scale space theory, find the relative coordinates of the floating gap in the original image. Then use Canny operator to detect the edge characteristics of the electromagnet and the maglev ball, and sample the edge points of the electromagnet and the maglev ball according to the relative coordinates of the maglev gap. Finally, calculate the floating gap based on the pixel distance between the edge points. Experiments show that under the embedded ARM platform, the speed and accuracy of gap measurement meet the requirements of maglev control.