The invention belongs to the technical field of
cutting beds, and relates to a vision-based cloth paving
machine cloth tightness self-adaption method, which comprises the following steps of S1, acquiring an image video
stream on the side surface of a cloth roll on a cloth paving
machine in real time through an industrial camera; s2, extracting a single-frame image from the video
stream, and identifying the cloth type of the current cloth roll; s3, preprocessing the extracted image: segmenting a
region of interest on the side surface of the yardage roll, and removing
wrinkle interference in the image; s4, carrying out
edge detection on the preprocessed
region of interest, and extracting the contour of the side surface of the yardage roll; s5, identifying and fitting the contour as a circle, and calculating the
diameter of the circle; and S6, determining a corresponding tightness parameter according to the
diameter. According to the cloth paving
machine cloth tightness degree self-adaption method based on vision, self-adaption control over the cloth tightness degree in the cloth paving process can be achieved, and the cloth paving quality is improved.