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.
针对目前自动光学检测系统在进行焊点检测时容易出现缺陷误报和漏报，以及智能化程度不高的问题，提出了一种基于神经网络的检测方法。
The precision and reliability of the attitude signal inspection system of subsea optical fibre plough is introduced and the method to solve the reliability problem of this system is emphasized.
对海底光缆埋设犁姿态信号检测系统的精度和可靠性问题作了介绍，特别对可靠性问题提出了解决方法。
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