机器视觉系统对注射器钢针弯针的自动检测方法

Method for automatically detecting bending of injector steel needles by using machine vision system

Abstract

本发明提供一种机器视觉系统对注射器钢针弯针的自动检测方法,将钢针针尖的横向弯曲值设为检测参量,根据用户要求设置不同检测参量的检测精度以及合格范围,由外部触发与控制信号启动所述相机实时拍摄在线运行钢针的图像,并将拍摄的图像传输至计算机供检测,计算机通过图像算法处理,提取钢针出现弯针的图像,并对两种弯针的横向弯曲值进行计算,通过计算出的横向弯曲值判断该产品是属于合格品还是废品,通过外部触发与控制信号将废品从指定出料口进行剔除。本发明对注射器钢针弯针的检测精度高、速度快,可以有效保证产品的合格率。
The invention provides a method for automatically detecting the bending of injector steel needles by using a machine vision system. The method comprises the following steps of: setting transverse bending values of needle points of the steel needles to be detection parameters; setting detection accuracy and qualified ranges of different detection parameters according to requirements of users; starting a camera by using external trigger and control signals to shoot pictures of the steel needles operated on line in real time, and transmitting the shot pictures to a computer for detection; processing the pictures by using the computer by a picture algorithm; extracting the pictures in which the steel needles are bent, and computing the transverse bending values of two bending needles; and judging whether a product is a qualified product or a waste product through the computed transverse bending values, and eliminating the waste product from a specified material outlet through the externaltrigger and control signals. By the method, the injector steel needles can be detected at high accuracy and high speed, and the yield of the product can be effectively ensured.

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    WO-2016066017-A1May 06, 2016苏州捷碧医疗科技有限公司一种基于机器视觉的注射针管自动检测系统和检测方法