Method for tracking moving object on production line

Abstract

The invention discloses a method for tracking a moving object on a production line, and belongs to the field of automatic devices. The method comprises the following steps that: a visual sensor acquires an image of the moving object and transmits the image to a computer; a servo motor controls the operating speed of a conveying belt and acquires displacement information of the conveying belt; the computer receives the image and identifies position information of the moving object; the computer eliminates the situations of missing and repeated identification of the moving object according to the image, the position information, a first decision making condition and a second decision making condition and acquires effective position information of the moving object; the computer acquires position coordinates of the moving object according to the effective position information and the displacement information and stores the position coordinates in a grasped moving object database; and parallel mechanical hands sequentially extract the position coordinates of the moving objects from the grasped moving object database and perform the grasping operation. The method can meet the requirement that the parallel mechanical hands grasp the scattered moving objects at a high speed in real time.

Description

technical field [0001] The invention relates to the field of automation equipment, in particular to a method for tracking moving objects on a production line. Background technique [0002] In the modern industrial production process, a large number of industrial robots work in a structured environment with known parameters, relying on precise position settings to grab and place workpieces, which improves production efficiency and product quality. To a certain extent It meets the needs of industrial production and people's life. At the same time, they also have great limitations, because most robots require the workpiece to appear in a fixed position with precise orientation. When this requirement cannot be met, it often leads to failure or interruption of the production process, and also That is to say, these robots do not have the ability to perceive changes in the external environment. At present, even the most intelligent robot in the world, its ability to adapt to chan...

AI Technical Summary

Problems solved by technology

[0005] The above methods and models have high computational complexity, and it is difficult to meet the high-speed real-time requirements of the production line robot to grab the moving target, and cannot meet the needs of practical applications.

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