A Generating System of Image Source for Visual Alignment Detection

Abstract

The invention relates to a visual alignment detection map source generation system, which comprises a feature shape selection module; a background image editing module; a feature shape adjustment module; an image generation module; a map source repository which includes storing a pair of images generated by the image generation module, and storing map source data corresponding to the pair of images adjusted by the feature shape adjustment module. The beneficial effects of the invention are embodied in that the map source storage library of the system comprises a large number of arbitrary placement positions where feature shapes may occur and pairs of images in which distortion may exist; the matching accuracy of the feature recognition algorithm can be checked by using the paired images inthe image source repository, and the parameters of the algorithm can be adjusted to find the shortcomings or defects of the algorithm and make corresponding improvements, so as to improve the matching accuracy of the feature recognition algorithm and improve the running efficiency of the algorithm in the field.

Description

technical field [0001] The invention relates to the technical field of visual alignment, in particular to a visual alignment detection map source generation system. Background technique [0002] Alignment is a professional name for the precision assembly of devices in modern industrial production. Its typical applications are the installation of various flexible or rigid devices typically represented by mobile phone production. The specific implementation process is to install the object A at position 1 and the object B at position 2 together. During the installation process, the horizontal or rotational direction of object A or object B needs to be adjusted. A key link in realizing the alignment function is whether the precise positions of the above-mentioned object A and object B can be obtained. In order to achieve precise adjustment of the position, the object will be photographed through the visual alignment system during work, and the entire alignment process will be ...

AI Technical Summary

Problems solved by technology

In the actual production site, there are unavoidable abnormalities such as machine failures and sudden changes in the surrounding environment. For example, if the light source used by the machine for visual alignment is broken or unevenly distributed, it is likely to cause changes in the distribution of color blocks in the captured image. As a result, there are color blocks or shadows in the image captured under the above conditions and the image captured under normal working conditions

In addition, the visual alignment system assists in accurate positioning and matching of the machine, but the installation environment of the camera given by the machine is limited, and it cannot be guaranteed that the camera has a good installation angle and is just aligned with the subject, and the tilted angle will lead to shooting errors. The image is distorted

At the same time, due to the limited installation space of the machine, the machine cannot provide enough space for the camera to be installed. If the camera is installed in a space other than the space of the machine, when the object is captured indirectly through reflection or a multi-level optical path system, the captured image will also have distortion

Due to the long time and high cost of using the actual machine to collect images to verify the joint debugging, the number of collected photos is limited, and it is impossible to detect the alignment effect of the visual alignment software in the case of the above-mentioned machine failure or sudden abnormality. Therefore, a method is provided. It is an important technical problem to be solved that the image source generation system that can generate as complex scenes as possible, and use these large-scale generated images to detect the feature recognition algorithm adopted by the alignment software

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