Computer vision based automatic labelling positioning method

Abstract

The invention relates to a computer vision based automatic labelling positioning method. The method comprises the following steps: acquiring an image of a labelling sample product through an image acquiring module; preprocessing the product image through an image recognizing module; determining an interesting area based on a position to be labelled; performing corner-point detection in the interesting area in order to recognize pixel coordinates of corner points of a label; finally and accurately positioning pixel coordinates of a center point of the label; calibrating a camera; transforming the pixel coordinates of the center point of a paper carton image into world coordinates through a data processing module in a computer processing controller based on the obtained camera parameters; returning the obtained spatial position of the center point of the label as known information to a manipulator; determining a moving route based on the input position information through the manipulator; and finding out a position point to be labelled so as to realize automatic labelling operation. The method can be continuously carried out for a long time at high speed, high accuracy and high resolution ratio; the recognizing rate is high; and the measurement result is accurate.

Description

technical field [0001] The invention relates to a positioning detection technology, in particular to a computer vision-based automatic labeling and positioning method. Background technique [0002] In the traditional industrial production process, the process of labeling products is generally done manually, which is costly, inefficient and error-prone. How to improve product quality is a hot issue in China's manufacturing industry today. [0003] In recent years, with the rapid development of artificial intelligence, computer vision, as one of its branches, uses computers to replace human eyes to make measurements and judgments, and converts the captured objects into image signals through image capture equipment, and transmits them to a dedicated image processing system to obtain the captured images. The shape information of the target is converted into a digital signal according to the pixel distribution, brightness, color and other information. The image system performs va...

AI Technical Summary

Problems solved by technology

In the existing situation, the labeling technology often has slow speed, low precision, and instability. Therefore, it is necessary to design an automatic labeling and positioning method that is worthy of promotion, accurate results, and easy to implement to ensure the efficiency of industrial production.

[0004] At present, the method of applying computer vision technology to automatic labeling and positioning has not been reported

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