工業4.0視覺檢測系統及高度自動化勢在必行
發布時間：
2023-02-10 11:30
不得不承認機器視覺檢測系統的高度自動化在工業生產中扮演著非常重要的角色。視覺檢測技術與工業自動化相互促進，視覺技術的推動高度集成化。機器視覺檢測技術是研究試圖建立從圖像或者多維數據中獲取“所需信息”的人工智能識別系統。那么，機器視覺檢測系統是如何推進工業自動化進程的？
We have to admit that the high automation of machine vision inspection system plays a very important role in industrial production. Visual inspection technology and industrial automation promote each other, and the promotion of visual technology is highly integrated. Machine vision detection technology is an attempt to establish an artificial intelligence recognition system to obtain "required information" from images or multidimensional data. So, how is machine vision seamless in industrial automation production?
1.圖像識別
1.Image recognition
圖像識別即圖像攝取裝置，將被拍攝的目標轉化為圖像信息。在傳給專門的圖像處理系統，根據像素的分布、亮度和顏色等信息，轉變為數字化信號，圖像系統在對這些信號進行各種運算來抽取目標的特征，進而根據判斷的結果來控制現場的設備來進行一系列的操作。
Image recognition is an image capture device, which converts the captured object into image information. In the special image processing system, according to the distribution of pixels, brightness and color information, into digital signals, the image system in these signals for various operations to extract the characteristics of the target, and then according to the judgment results to control the field equipment to carry out a series of operations.
二維碼和條形碼是我們生活中極為常見的條碼。在商品的生產中，廠家把很多的數據儲存在小小的二維碼中，通過這種方式對產品進行管理和追溯，隨著機器視覺圖像識別應用變得越來越廣泛，各種材質表面的條碼變得非常容易被識別讀取、檢測，從而提高現代化的水平、生產效率大大的提高、生產成本卻逐漸降低。
Two dimensional code and bar code are very common bar codes in our life. In the production of goods, manufacturers store a lot of data in a small two-dimensional code, and manage and trace the products in this way. With the application of machine vision image recognition becoming more and more extensive, bar codes on the surface of various materials become very easy to be identified, read and detected, so as to improve the level of modernization, greatly improve the production efficiency, and gradually increase the production cost Lower.
2.視覺定位
2.Visual orientation
視覺定位能夠準確的檢測到產品并且確認它的位置。
Visual positioning can accurately detect the product and confirm its position.
最典型的案例就是在半導體制造領域，芯片位置信息調整拾取頭非常不好處理，機器視覺則能夠解決這個問題，因為需要準確拾取芯片以及綁定，這也是視覺定位成為機器視覺工業領域最基本應用的原因。
The most typical case is in the field of semiconductor manufacturing. The pick-up head for chip position information adjustment is very difficult to process. Machine vision can solve this problem because it requires accurate chip picking and binding. This is also the reason why visual positioning has become the most basic application in machine vision industry.
3.物體測量
3.Object measurement
機器視覺工業應用最大的特點就是其非接觸測量技術，由于非接觸無磨損，所以避免了接觸測量可能造成的二次損傷隱患。
The biggest characteristic of machine vision industrial application is its non-contact measurement technology. Because of non-contact and non-wear, it can avoid the secondary damage caused by contact measurement.
機器視覺，就是使機械設備具備“看得見”的能力，好比人有了眼睛才能看得到物品。機器視覺對物體進行測量，不需要像傳統人工一樣對產品進行接觸，但是其高精度、高速度性能一樣不少，不但對產品無磨損，還解決了造成產品的二次傷害的可能，這對精密儀器的制造水平有特別明顯的提升。對羅定螺紋、麻花鉆、IC元件管腳、車零部件、接插件等的測量，都是非常普遍的測量應用。
Machine vision is to make mechanical equipment have the ability of "seeing", just like people can see things with eyes. Machine vision does not need to touch the product like traditional manual, but it has many high-precision and high-speed performance. It not only has no abrasion on the product, but also solves the possibility of secondary damage to the product, which has a particularly significant improvement on the manufacturing level of precision instruments. The measurement of Luoding thread, twist drill, IC component pin, car parts and connectors is a very common measurement application.
4.圖像檢測
4.Image detection
人工肉眼檢測往往會遇到很多問題，比如準確性太低，容易有誤差，不能連續工作且易疲勞，而且費時費力。機器視覺的大量應用將產品生產和檢測進入到高度自動化。
Manual visual inspection often encounter many problems, such as low accuracy, easy to have errors, can not work continuously and easy to fatigue, and time-consuming and laborious. With the extensive application of machine vision, the production and detection of products are highly automated.
最典型的案例就是硬幣字符檢測、電路板檢測等。以及人民幣造幣工藝的檢測，對精度要求特別高，檢測的設備也很多，工序復雜。此外還有機器視覺的定位檢測，飲料瓶蓋的生產是否合格、是否有問題，還有產品的條碼字符的檢測識別，玻璃瓶的缺陷檢測、以及藥用玻璃瓶檢測，醫藥領域也是機器視覺的主要應用領域之一。
The most typical cases are coin character detection, circuit board detection and so on. As well as the detection of RMB coinage technology, the accuracy requirements are particularly high, the detection equipment is also many, the process is complex. In addition, there are positioning detection of machine vision, whether the production of beverage bottle cap is qualified or not, whether there are problems, as well as the detection and recognition of barcode characters of products, the defect detection of glass bottles, and the detection of medicinal glass bottles. The medical field is also one of the main application fields of machine vision.
5.物體分揀
5.Object sorting
在機器視覺應用環節中，物體分揀應用是建立在識別、檢測之后的一個環節，通過機器視覺系統將圖像進行處理，結合機械臂的使用實現產品分揀。
In the application of machine vision, the application of object sorting is established after recognition and detection. The image is processed by machine vision system, and the product sorting is realized with the use of mechanical arm.
最典型的案例就是在過去的生產線上，是用人工的方法將物料安放到注塑機里，再進行下一步工序。現在則是使用自動化設備分料，其中使用機器視覺系統進行產品圖像抓取、圖像分析，輸出結果，再通過機器人，把對應的物料、放到固定的位置上，從而實現工業生產的智能化、現代化、自動化。
The most typical case is in the past production line, the material is placed in the injection molding machine manually, and then the next process is carried out. Now we are using automatic equipment to separate materials, in which the machine vision system is used to capture and analyze the product image, output the results, and then put the corresponding materials in a fixed position through the robot, so as to realize the intelligent, modern and automatic industrial production.
各級生產企業通過對機器視覺檢測系統的現場應用，在實時監控產品生產質量、提高生產效率的同時，還可以大幅節約人工成本，是制造業在面向工業4.0時代的最佳選擇。為提高質量保持競爭力，各領域的視覺檢測及高度自動化勢在必行。
Through the field application of machine vision inspection system, production enterprises at all levels can not only monitor the production quality of products in real time, but also greatly save labor costs. It is the best choice for manufacturing industry in the era of industry 4.0. In order to improve the quality and maintain competitiveness, it is imperative to carry out visual inspection and high automation in various fields.
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