機器視覺檢測技術在自動化生產線中的重要應用

　　通過數字處理結合像素分布顯示的亮度和顏色等信息確定大小、形狀和顏色。這種快速性和可重復性與人類視覺的高度智能化和抽象的能力相結合，就是機器視覺檢測技術，如今，視覺檢測技術在工業中的應用越來越廣泛，并且有著不可替代的重要作用。具體表現在以下幾個方面。
　　Determine size, shape, and color through digital processing combined with information such as brightness and color displayed by pixel distribution. This combination of speed and repeatability with the highly intelligent and abstract capabilities of human vision is machine vision inspection technology. Nowadays, visual inspection technology is increasingly widely used in industry and plays an irreplaceable important role. Specifically manifested in the following aspects.

　　1、視覺引導和定位應用
　　Visual guidance and positioning applications
　　視覺定位要求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 vision system can quickly and accurately find the measured parts and confirm their positions, and use machine vision to position the loading and unloading, so as to guide the Robotic arm to grasp accurately. In the field of semiconductor packaging, equipment needs to adjust the pickup head based on the chip position information obtained by machine vision, accurately pick up the chip and bind it, which is the most basic application of visual 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, adjusting chip position information by picking heads is very difficult to handle, and machine vision can solve this problem because it requires accurate chip picking and binding, which is also why visual positioning has become the most basic application in the field of machine vision industry.
　　2、在產品外觀的缺陷檢測
　　Defect detection on product appearance
　　在產品的自動化生產過程中檢測產品質量問題，是視覺檢測技術取代人工比較多的應用。例如在食品飲料行中中，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。
　　Detecting product quality issues in the automated production process of products is a common application where visual inspection technology replaces manual labor. For example, in the food and beverage industry, the main inspections include size inspection, bottle appearance defect inspection, bottle shoulder defect inspection, bottle mouth inspection, etc.
　　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。
　　With the development of modern industrial automation, machine vision inspection has been widely applied to various inspections, measurements, and part identification, such as surface defect detection of new energy power batteries, electronic component identification, magnetic material appearance defect detection, barcode and character recognition on product packaging, etc. The common characteristics of these applications are continuous mass production and high requirements for appearance quality.
　　3、高精度檢測的應用
　　Application of high-precision detection
　　在動力電池毛刺檢測、pcb電路板檢測等行業中，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。這也是機器視覺檢測技術的一個關鍵性的應用，對于檢測的技術要求也比較高，檢測精準度也會大大的提升。
　　In industries such as power battery burr detection and PCB circuit board detection, the precision of the product is relatively high, reaching 0.01~0.02m or even to level u. It cannot be detected by the human eye and must be completed using a machine. This is also a crucial application of machine vision detection technology, with high technical requirements for detection and greatly improved detection accuracy.
　　4、圖像識別的應用
　　Application of Image Recognition
　　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。
　　Image recognition is the use of machine vision to process, analyze, and understand images in order to identify various patterns of targets and objects. It can achieve data traceability and collection, and is widely used in fields such as new energy batteries, circuit boards, electronic components, hardware accessories, food, pharmaceuticals, etc. The most typical case is the recognition of QR codes. QR codes and barcodes are extremely common barcodes in our daily lives.
　　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。
　　In the production of goods, manufacturers store a lot of data in small QR codes. Through this method, products are managed and traced. As machine vision image recognition applications become more and more widespread, barcodes on various material surfaces become very easy to identify, read, and detect, thereby improving the level of modernization, greatly improving production efficiency, and gradually reducing production costs.
　　5、物品的自動化分揀
　　Automated sorting of items
　　物體自動化分揀的應用是建立在識別、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。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 application of object automation sorting is established as a link after recognition and detection, where images are processed through a machine vision system and combined with the use of a robotic arm to achieve product sorting. Using automated equipment for material distribution, machine vision systems are used to capture and analyze product images, output results, and then use robots to place corresponding materials in fixed positions, thereby achieving intelligence, modernization, and automation in industrial production.
　　隨著工業自動化行業進程的加速與普及，視覺檢測技術的應用也會逐漸的廣泛，視覺檢測技術在節約人工、提升速率、把控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 acceleration and popularization of the industrial automation industry, the application of visual inspection technology will gradually become widespread. Visual inspection technology has become a necessary path for enterprises to survive in the current economic situation by saving labor, improving speed, and controlling quality. The application of machine vision inspection technology will help enterprises stand invincible in fierce competition.