基于机器视觉的计量级接插件端子检测系统

Measurement Grade Connector Terminal Detection System Based on Machine Vision

本论文设计与研究了一种基于3组机器视觉(镜头)组建的一种接插件端子尺寸以及位置度的高精度视觉检测系统。该机器视觉系统统筹运用Canny边缘检测技术、冒泡排序算法、GRR数据分析、多线程控制、以太网数据交互等技术手段,实现了工厂生产线接插件端子尺寸以及位置度的高精度在线实时检测,解决了以前只能实验室批次抽检的问题,同时可满足工厂多种型号的端子柔性化在线计量级检测需求。

This paper designs and studies a high-precision visual inspection system based on three groups of machine vision(lens).The machine vision system uses Canny edge detection technology,bubble sorting algorithm,GRR data analysis,multithreading control,Ethernet data interaction and other technical means to realize the high-precision online real-time detection of connector terminal size and position in factory production line,which solves the problem of laboratory batch sampling in the past,and can meet the requirements of various types of terminal flexibility,and the demand of on-line measurement level testing.