Method for guiding robot to suck buzzers for dust removal

Abstract

The invention relates to a method for guiding a robot to suck buzzers for dust removal. The method comprises the following steps that S1, manually placing the buzzers in a material suction disc at will; S2, enabling the robot to start to operate and establish connection with a camera; S3, enabling the robot to send out a trigger signal to trigger the camera to photograph; S4, after an image is captured, carrying out corresponding image algorithm processing, judging whether a buzzer meeting the capturing conditions exists or not, and if the material meeting the conditions exists, sending the coordinates of the material to the robot; and S5, enabling the robot to grab four buzzer materials at a time, then enabling the robot to grab the materials, firstly adhering the materials to an adhesivetape for one time and then sucking the materials by an air suction machine for one time so as to carry out two times of dust removal, placing the materials into a dust removal finishing disc after dust removal, and repeatedly executing the actions after the step S3. According to the method for guiding the robot to suck the buzzers for dust removal provided by the invention, materials meeting theconditions are grabbed through automatic recognition of photographing vision, and the robot is adopted for dust removal, so that the product quality and the assembling efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of environmental protection, in particular to a method for guiding a robot to suck up a buzzer for dust removal. Background technique [0002] In the process of automatic operation of the buzzer, from the point of view of the alignment method of the guiding robot, the alignment technology has gone through three stages of development: full manual alignment, semi-manual alignment and fully automatic alignment. Fully manual alignment (that is, commonly referred to as manual assembly), this technology has obvious defects, and the labor cost is not considered for the time being. From a technical point of view, the manual assembly effect has a large error, and the NG rate of the assembled product is very high. High; semi-manual alignment (commonly known as man-machine combined assembly), which is indeed a certain improvement compared with full manpower, but from the perspective of assembly effect, since it is stil...

AI Technical Summary

Problems solved by technology

Full manual alignment (that is, commonly referred to as manual assembly), this technology has obvious defects, and the labor cost is not considered for the time being. From a technical point of view, the manual assembly effect has a large error, and the NG rate of the assembled product is very high. High; semi-manual alignment (commonly known as man-machine combined assembly), which is indeed a certain improvement compared with full manpower, but from the perspective of assembly effect, since it is still calculated and guided by human eyes, the error is still It is very large, and the efficiency is relatively low

[0003] Whether the buzzer is manually placed in the material suction tray, or the dust is removed manually during the plate placement process, the existing technology mainly relies on manual participation, because it involves the dust removal of the product, and some products may not be completely dusted or dedusted. Bringing in new impurities makes the entire product unusable and wastes resources. In addition, the efficiency of manual work is relatively low.

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