关键词: 自动光学检测, 印刷电路板, 神经网络, 机器视觉

Abstract:

In order to overcome the error alarming and unintelligence of the automatic optical inspection（AOI） system for the solder joint inspection,a new inspecting method based on neural network is proposed.First,an entropy-based multi-threshold algorithm is adopted to automatically segment the image and to extract the solder joints.Second,a series of features of solder joints is defined and are selected according to the experimental results.Thirdly,a BP neural network is established for the solder joints classification.The high accuracy of the proposed method is verified by experiments.

Key words: automatic optical inspection, printed circuit-board, neural network, machine vision