　　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.

　　機器視覺在工業自動化檢測中的應用

　　Application of machine vision in industrial automation inspection

　　1、引導和定位：視覺定位要求機器視覺系統能夠快速準確的找到被測零件并確認其位置，上下料使用機器視覺來定位，引導機械手臂準確抓取。在半導體封裝領域，設備需要根據機器視覺取得的芯片位置信息調整拾取頭，準確拾取芯片并進行綁定，這就是視覺定位在機器視覺工業領域最基本的應用。

　　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、外觀檢測：檢測生產線上產品有無質量問題，該環節也是取代人工最多的環節。例如機器視覺涉及到的醫藥領域，其主要檢測包括尺寸檢測、瓶身外觀缺陷檢測、瓶肩部缺陷檢測、瓶口檢測等。

　　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、高精度檢測：有些產品的精密度較高，達到0.01~0.02m甚至到u級，人眼無法檢測必須使用機器完成。

　　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、識別：就是利用機器視覺對圖像進行處理、分析和理解，以識別各種不同模式的目標和對象。可以達到數據的追溯和采集，在汽車零部件、食品、藥品等應用較多。

　　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.

　　機器視覺技術中的圖像掃描識別

　　Image scanning recognition in machine vision technology

　　在工業自動化檢測中，圖像掃描識別一般包括噴碼識別、條碼識別、二維碼識別、和字符識別等等。

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

　　條碼掃描識別有啥難點？

　　What are the difficulties of barcode scanning and recognition?

　　噪音、鏡面、反射、不均勻照面、透視、靜音區擾亂、空洞、損壞...

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

　　如何解決吶？

　　How to solve it?

　　有定制型算法解決靜音區擾亂及編碼損壞問題，同時借助各類光源增加讀取率。

　　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.

　　噴碼掃描識別又有啥難點？

　　What is the difficulty of spray code scanning recognition?

　　比劃寬度不一、點陣文字、固定文字相互接觸、低對比度、背景噪點、本地照明不均...

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

　　如何解決吶？

　　How to solve it?

　　噴碼檢測難度要高于條碼檢測，通過攝像機預處理和圖像矯正，準確的分割算法，結合文字訓練和范圍限定，同時借助各類光源增加讀取率。

　　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.

　　機器視覺檢測系統真正的讓工業事項了自動化，當工業機器人具備了視覺檢測能夠力，才能夠更好的對事情判斷，從而做到智能化的靈活自行解決一些問題。

　　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.

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