PCB marking printing quality detection method based on deep learning

Abstract

The invention relates to a PCB labeling printing quality detection method based on deep learning. The method comprises the following steps of carrying out a series of pretreatment such as Gaussian filtering, conversion into a gray scale image, edge detection, hole filling and optimal threshold binarization segmentation on an obtained PCB original image so as to effectively improve recognition detection efficiency; adopting an Otsu algorithm for carrying out optimal threshold segmentation on the image to obtain a binary image, so that the test precision of the method is improved; effectively collecting and expanding image sample data to increase representativeness of samples. The model overfitting phenomenon caused by few data is prevented. A model obtained through training is affected by irrelevant factors as little as possible. Robustness of the model is enhanced, training time of a deep learning network is shorter, and the convergence speed is higher. Target features of the image areextracted efficiently through the deep neural network, and the defects of easy overfitting, long training time, high parameter adjustment difficulty and the like caused by a traditional artificial neural network feature extraction method can be effectively avoided.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to a deep learning-based method for detecting the printing quality of PCB marking. Background technique [0002] With the rapid development of electronic information technology, PCB board, as the cornerstone of information technology, plays an increasingly important role and tends to develop in high density. In the production process of PCB boards, in order to provide users with clear instructions, it is necessary to print corresponding logo patterns and text codes on the upper and lower surfaces of the PCB board, such as component labels and nominal values, component outline shapes and manufacturer logos. , production date, etc. The process uses screen printing process, also known as screen printing process. The silk screen layer of the PCB board is the text layer, and its function is to facilitate the installation and maintenance of the circuit. In the process of markin...

AI Technical Summary

Problems solved by technology

As the demand for PCB boards continues to increase, PCB boards are developing towards high-precision and miniaturized models. The disadvantages of traditional marking and printing inspection methods are becoming more and more obvious. The efficiency of manual inspection is very low, and the inspection quality is also affected by human interference and environmental interference Due to the influence of various factors, the detection cost is too high, and the detection accuracy cannot be effectively guaranteed.

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