Vision-based printed circuit board non-standard element recognition and positioning method and system

Abstract

The embodiment of the invention provides a method and system for recognizing and positioning non-standard elements of a printed circuit board based on vision. The method comprises the following steps: collecting image data, and carrying out the preprocessing of the image data; constructing a positioning neural network model of the non-standard element of the printed circuit board, and training the positioning neural network model by using the collected and preprocessed multiple groups of sample images; and using the trained positioning neural network model to identify and position the non-standard element of the printed circuit board. According to the method, modeling is carried out on the printed circuit board image by adopting a multi-layered neural network model, and a network model with non-standard element recognition and positioning capabilities is established by designing a connection mode and a connection weight of neurons between adjacent layers of a neural network; the contour area of the non-standard electronic component can be automatically positioned from an image or video containing a printed circuit board and the non-standard electronic component, the positioning precision and the positioning speed are high, and the higher positioning performance is achieved.

Description

technical field [0001] The present invention relates to the field of machine vision, machine learning and image analysis technology combining computer technology, control technology and artificial intelligence technology, in particular, to a method and system for identifying and locating non-standard components of printed circuit boards based on vision. Background technique [0002] In recent years, with the rapid development of the electronic chip industry, it has brought a profound impact on the world economy and society, and the light weight and diversification of electronic chips has increasingly become the direction of future development. In the electronic chip industry, electronic chip assembly technology is an indispensable key technology. Its main task is to install electronic chips and components that realize various specific functions on printed circuit boards, realize the assembly and integration of electronic chips, and produce terminal electronic products. Elec...

AI Technical Summary

Problems solved by technology

Among them, curve fitting usually requires prior knowledge of component contours to determine the degree and number of terms of the curve equation; edge detection methods are easily disturbed by complex image textures on components or circuit boards; and template matching methods have a great impact on image quality. The requirements are high, and if the component image is defaced or the shooting is blurred, it is easy to have positioning deviation

Although the above methods have their own characteristics, each has certain problems and cannot achieve high positioning performance.

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