機器視覺檢測技術在自動化行業中的重要應用

　　在實現自動化生產的過程中，總是會發現機器視覺檢測設備的“身影”。機器視覺檢測技術能夠通過CCD攝影機獲取的圖像信息通過傳輸給計算機進行分析并且做出判斷，是一種與人類視覺的高度智能化和抽象的能力相結合。在實際生產過程中，視覺檢測技術究竟起到了哪些重要的作用呢？讓我們一一來盤點。
　　In the process of realizing automatic production, the "figure" of machine vision inspection equipment will always be found. Machine vision detection technology can transmit the image information obtained by CCD camera to the computer for analysis and judgment, which is a combination of highly intelligent and abstract ability of human vision. In the actual production process, what important role does visual inspection technology play? Let's make an inventory.
　　1、視覺引導和定位應用
　　Visual guidance and positioning application
　　視覺定位要求機器視覺系統能夠快速準確地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。
　　Visual positioning requires that the machine vision system can quickly and accurately find the measured part and confirm its position, and use machine vision to position the loading and unloading to guide the manipulator to accurately grasp. In the field of semiconductor packaging, the equipment needs to adjust the pickup head according to the chip position information obtained by machine vision, accurately pick up the chip and bind it, which is the most basic application of vision positioning in the field of machine vision industry.
　　此外，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。
　　In addition, in the field of semiconductor manufacturing, the chip position information adjustment pickup is very difficult to handle, and machine vision can solve this problem, because it needs to accurately pick up the chip and bind, which is also the reason why vision positioning has become the most basic application in the field of machine vision industry.

　　2、外觀缺陷檢測應用
　　Appearance defect detection application
　　伴隨著現代工業自動化的發展，機器視覺檢測被廣泛應用到各種各樣的檢查、測量和零件識別，例如新能源動力電池表面缺陷檢測、電子元器件識別、磁性材料外觀缺陷檢測、產品包裝上的條碼和字符識別等，這類應用的共同特點是連續大批量生產、對外觀質量的要求非常高。隨著經濟水平的提高，機器視覺檢測越來越受到重視。它可以提高合格產品的生產能力，在生產過程的早期就報廢劣質產品，從而減少了浪費節約成本。
　　With the development of modern industrial automation, machine vision inspection has been widely used in various inspections, measurements and parts identification, such as surface defect detection of new energy power batteries, electronic component identification, magnetic material appearance defect detection, bar code and character recognition on product packaging, etc. The common characteristics of these applications are continuous mass production and high requirements for appearance quality. With the improvement of economic level, machine vision inspection has been paid more and more attention. It can improve the production capacity of qualified products and scrap inferior products at the early stage of the production process, thus reducing waste and saving costs.
　　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。
　　Check whether the products on the production line have quality problems, which is also the link that replaces the most manual work. For example, machine vision involves the medical field, and its main detection includes size detection, bottle body appearance defect detection, bottle shoulder defect detection, bottle mouth detection, etc.
　　3、高精度檢測應用
　　High-precision detection application
　　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。最典型的案例就是動力電池毛刺檢測、pcb電路板檢測等。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。
　　Some products have high precision, up to 0.01~0.02m or even to level u, and cannot be detected by human eyes, which must be completed by machine. The most typical cases are power battery burr detection, pcb circuit board detection, etc. As well as the detection of medical glass bottles, the medical field is also one of the main application fields of machine vision.
　　4、圖像識別應用
　　Image recognition application
　　圖像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，在新能源電池、電路板、電子元器件、五金配件、食品、藥品等領域應用較多。最典型的案例就是識別二維碼。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。
　　Image recognition is the use of machine vision to process, analyze and understand images to identify different patterns of objects and objects. It can trace and collect data, and is widely used in new energy batteries, circuit boards, electronic components, hardware accessories, food, medicine and other fields. The most typical case is to identify the QR code. QR code and barcode are very common barcodes in our life. In the production of goods, the manufacturer stores a lot of data in a small two-dimensional code. Through this way, the product is managed and traced. As the application of machine vision image recognition becomes more and more extensive, the barcode on the surface of various materials becomes very easy to be recognized, read and detected, thus improving the level of modernization, greatly improving production efficiency, and gradually reducing production costs.
　　5、物體分揀應用
　　Object sorting application
　　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。在過去的生產線上，是用人工的方法將物料安放到指定地點，再進行下一步工序。而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。
　　In the application of machine vision, the object sorting application is a link established after recognition and detection. The image is processed by the machine vision system, and the product sorting is realized by combining the use of the mechanical arm. In the past production line, materials were placed at the designated place manually, and then the next process was carried out. Now, automatic equipment is used for material distribution, in which the machine vision system is used for product image capture, image analysis, output results, and then the corresponding materials are placed in a fixed position through the robot, so as to realize the intelligent, modern and automatic industrial production.
　　隨著中國制造業的快速發展，企業對于機器視覺的需求也將逐漸增多，節約人工、提升速率、進步產物質量成為了當下經濟情況下企業生計的必經之路,應用機器視覺檢測技巧將能幫助企業在劇烈的競爭中立于不敗之地。
　　With the rapid development of China's manufacturing industry, enterprises' demand for machine vision will gradually increase. Saving labor, improving speed and improving product quality have become the only way for enterprises to survive in the current economic situation. The application of machine vision detection technology will help enterprises to remain invincible in the fierce competition.