　　Industrial automation refers to the realization of information processing and process control of measurement, manipulation, etc. according to the expected goal without direct manual intervention.

　　机器视觉在工业自动化检测中的应用

　　Application of machine vision in industrial automation inspection

　　1、引导和定位：视觉定位要求机器视觉系统能够快速准确的找到被测零件并确认其位置，上下料使用机器视觉来定位，引导机械手臂准确抓取。在半导体封装领域，设备需要根据机器视觉取得的芯片位置信息调整拾取头，准确拾取芯片并进行绑定，这就是视觉定位在机器视觉工业领域最基本的应用。

　　1. Guidance and positioning: vision positioning requires that the machine vision system can quickly and accurately find the part to be measured and confirm its position. The machine vision is used to locate the loading and unloading materials to guide the manipulator to grasp accurately. In the field of semiconductor packaging, the device needs to adjust the pickup head according to the chip position information obtained by machine vision, accurately pick up the chip and bind it. This is the most basic application of visual positioning in the field of machine vision industry.

　　2、外观检测：检测生产线上产品有无质量问题，该环节也是取代人工最多的环节。例如机器视觉涉及到的医药领域，其主要检测包括尺寸检测、瓶身外观缺陷检测、瓶肩部缺陷检测、瓶口检测等。

　　2. Appearance inspection: to detect the quality problems of products on the production line, which is also the link that takes the most place of labor. For example, machine vision is involved in the field of medicine, its main detection includes size detection, bottle body appearance defect detection, bottle shoulder defect detection, bottle mouth detection and so on.

　　3、高精度检测：有些产品的精密度较高，达到0.01~0.02m甚至到u级，人眼无法检测必须使用机器完成。

　　3. High precision detection: the precision of some products is high, reaching 0.01 ~ 0.02 M or even u level, which cannot be detected by human eyes and must be completed by machine.

　　4、识别：就是利用机器视觉对图像进行处理、分析和理解，以识别各种不同模式的目标和对象。可以达到数据的追溯和采集，在汽车零部件、食品、药品等应用较多。

　　4. Recognition: it is to use machine vision to process, analyze and understand the image, so as to identify various targets and objects with different patterns. It can be used in auto parts, food, medicine and so on.

　　机器视觉技术中的图像扫描识别

　　Image scanning recognition in machine vision technology

　　在工业自动化检测中，图像扫描识别一般包括喷码识别、条码识别、二维码识别、和字符识别等等。

　　In industrial automation detection, image scanning recognition generally includes spray code recognition, bar code recognition, two-dimensional code recognition, and character recognition.

　　条码扫描识别有啥难点？

　　What are the difficulties of barcode scanning and recognition?

　　噪音、镜面、反射、不均匀照面、透视、静音区扰乱、空洞、损坏...

　　Noise, mirror, reflection, uneven exposure, perspective, quiet area disturbance, cavity, damage

　　如何解决呐？

　　How to solve it?

　　有定制型算法解决静音区扰乱及编码损坏问题，同时借助各类光源增加读取率。

　　There is a customized algorithm to solve the problem of noise area disturbance and code damage, and increase the reading rate with the help of various light sources.

　　喷码扫描识别又有啥难点？

　　What is the difficulty of spray code scanning recognition?

　　比划宽度不一、点阵文字、固定文字相互接触、低对比度、背景噪点、本地照明不均...

　　Different stroke width, dot matrix text, fixed text contact, low contrast, background noise, uneven local lighting

　　如何解决呐？

　　How to solve it?

　　喷码检测难度要高于条码检测，通过摄像机预处理和图像矫正，准确的分割算法，结合文字训练和范围限定，同时借助各类光源增加读取率。

　　Spray code detection is more difficult than bar code detection, through camera preprocessing and image correction, accurate segmentation algorithm, combined with text training and range limitation, at the same time, with the help of various light sources to increase the reading rate.

　　机器视觉检测系统真正的让工业事项了自动化，当工业机器人具备了视觉检测能够力，才能够更好的对事情判断，从而做到智能化的灵活自行解决一些问题。

　　Machine vision detection system really makes industrial matters automatic. When industrial robots have the ability of visual inspection, they can judge things better, so that they can solve some problems intelligently and flexibly.

视觉检测系统

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