Visual guidance system image processing framework class library and design method thereof

Abstract

The invention discloses a visual guidance system image processing framework class library and a design method thereof. The design method comprises the following steps: 1) deriving a data source class,an algorithm class and a result processing class by utilizing an object management class; the data source type encapsulation image acquisition action is responsible for image acquisition and data acquisition; algorithm type packaging data processing is responsible for comparing the data source type data with a standard image to obtain a deviation matrix of the tail end of the robot; the result processing class packaging result output is responsible for converting the deviation matrix into a format suitable for being transmitted to the robot and realizing communication with the robot; 2) binding a scheduling relationship among a data source class, an algorithm class and a result processing class by using an interface provided by the mapping management class; and 3) carrying out operation management class packaging control, which is responsible for triggering data source class image acquisition according to a preset condition and finally outputting a deviation matrix to the robot. The framework class library and the design method are used for packaging typical visual guidance scenes, so that the development amount of repetitive codes is reduced. The software development time is shortened.

Description

technical field [0001] The invention relates to the field of software design, in particular to a visual guidance system image processing framework class library and a design method thereof. Background technique [0002] In recent years, with the development of industrial automation, visual guidance has been increasingly used in intelligent manufacturing factories. The visual guidance process relies on the camera to collect images, and then matches the collected images with the template image to obtain the deviation between the actual position and the target position. Based on this, the trajectory of the robot is corrected and the robot is guided to grasp the part. However, because the robot needs to collect a large number of images, it is necessary to repeatedly develop similar functional codes during the software development process, making the codes highly repetitive and unable to be lightweight. Contents of the invention [0003] In order to solve the above technical p...

AI Technical Summary

Problems solved by technology

However, because the robot needs to collect a large number of images, it is necessary to repeatedly develop similar functional codes in the software development process, which makes the codes highly repetitive and cannot be lightweight

Images