Method and device for aligning machine vision

Abstract

The invention relates to a method for aligning machine vision. The method mainly includes the following steps of fixing a first camera and a second camera, determining a coordinate conversion relationship, selecting at least one first feature point and at least two second feature points, assigning a target physical location coordinate of the first feature point and target physical location coordinates of the second feature points respectively, collecting an image of a coarse alignment mark point of an object to be aligned, calculating the coordinate deflection of a current physical location coordinate of the first feature point and the target physical location coordinate of the first feature point, conducting coarse alignment on the object to be aligned, collecting an image of a fine alignment mark point of the object to be aligned, calculating the coordinate deflection between a current physical location coordinate of each second feature point with the target physical location coordinate of each second feature point according to the image of the fine alignment mark point, and conducting fine alignment on the object to be aligned. Meanwhile, the invention further provides a device for aligning machine vision, and the method and device for aligning machine vision are low in cost and good in instantaneity.

Description

technical field [0001] The invention relates to the field of industrial device positioning, in particular to a machine vision alignment method and a device thereof. Background technique [0002] At present, machine vision alignment systems have been widely used in automated production equipment, robots, medical testing devices and military weapons. In the industry, the accuracy of visual alignment systems can generally reach 2-5 μm, and the requirements for alignment accuracy are still improving. It is expected that the accuracy of the next-generation visual alignment system can reach 1 μm, or even below 1 μm. This micron-level alignment and positioning accuracy is difficult to achieve by manual methods alone, and the production efficiency cannot be guaranteed. Especially in automated production equipment, the alignment work is often repetitive, and the manual alignment method will undoubtedly greatly increase the production and management costs of the enterprise, and it is...

AI Technical Summary

Problems solved by technology

[0004] However, simply improving the alignment method from the hardware will greatly increase the cost of the machine vision alignment system

At the same time, for some equipment, such as chip packaging and flat-panel packaging equipment, the alignment accuracy must reach about 1 micron or less, and the resolution of existing cameras can no longer meet the requirements

However, improving the alignment method only from the software will increase the complexity of the algorithm. Too complex algorithms will affect the real-time performance of visual alignment.

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