Laser marking galvanometer scanning system based on machine vision

Abstract

The invention discloses a laser marking galvanometer scanning system based on machine vision. The laser marking galvanometer scanning system comprises an image processing system, a laser galvanometer scanning system and a motion control system and specifically comprises a light source, a camera lens, a CCD (Charge Coupled Device) camera, an image capture card, an image processing software, a fiber laser, an opto-isolator, a laser beam-expanding lens, an XY scanning galvanometer, an F-theta lens, a monitor, a communication/input output unit and a three-dimensional adjusting bracket. The laser marking galvanometer scanning system utilizes the machine vision to acquire the position of the workpiece from the view field of the camera, to finish the information capture and the signal conversion and to perform coordinate conversion and direction conversion on the marking document, so that the marking position on the subsequent workpiece is consistent with the position of the first workpiece. Meanwhile, the marking depth can be online measured and the information is supplied for the online feedback control on the laser marking. Compared with the traditional marking positioning, the laser marking galvanometer scanning system has the advantages that different fixtures need not be prepared for different workpieces, the purpose of positioning the workpiece is achieved by only training the machine vision for identifying different patterns, the real-time online detection for the marking quality is performed, the cost is lowered, the general automation is easily realized and the processing precision is further increased and ensured.

Description

technical field [0001] The invention relates to the technical field of machine vision, and relates to a machine vision laser marking vibrating mirror scanning system. Background technique [0002] Machine vision technology can rely on visual sensors to collect on-site images, analyze and process data, and then guide the machine to perform correct operations. It is a novel and practical science and technology. Through cameras and computers, machines can automatically measure targets, recognized function. [0003] Machine vision is widely used, from industrial detection to file processing, from remote sensing images to medical images, it can be applied to machine vision in almost any occasion where human vision plays a role. It will not feel tired, has high tracking speed and Resolution accuracy saves manpower in industrial production and improves product quality and production speed. [0004] Laser marking is a marking method that uses focused laser to generate high energy ...

AI Technical Summary

Problems solved by technology

[0005] Compared with other marking technologies, it has the characteristics of fast speed, no contact, less damage, and rich visual effects. However, with the continuous development of laser technology, new applications of laser marking are also emergin

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