机器视觉检测技术在自动化行业中的重要应用

　　在实现自动化生产的过程中，总是会发现机器视觉检测设备的“身影”。机器视觉检测技术能够通过CCD摄影机获取的图像信息通过传输给计算机进行分析并且做出判断，是一种与人类视觉的高度智能化和抽象的能力相结合。在实际生产过程中，视觉检测技术究竟起到了哪些重要的作用呢？让我们一一来盘点。
　　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、视觉引导和定位应用
　　Visual guidance and positioning application
　　视觉定位要求机器视觉系统能够快速准确地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。
　　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，在半导体制造领域，芯片位置信息调整拾取头非常不好处理，机器视觉则能够解决这个问题，因为需要准确拾取芯片以及绑定，这也是视觉定位成为机器视觉工业领域最基本应用的原因。
　　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、外观缺陷检测应用
　　Appearance defect detection application
　　伴随着现代工业自动化的发展，机器视觉检测被广泛应用到各种各样的检查、测量和零件识别，例如新能源动力电池表面缺陷检测、电子元器件识别、磁性材料外观缺陷检测、产品包装上的条码和字符识别等，这类应用的共同特点是连续大批量生产、对外观质量的要求非常高。随着经济水平的提高，机器视觉检测越来越受到重视。它可以提高合格产品的生产能力，在生产过程的早期就报废劣质产品，从而减少了浪费节约成本。
　　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.
　　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。
　　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、高精度检测应用
　　High-precision detection application
　　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。最典型的案例就是动力电池毛刺检测、pcb电路板检测等。以及药用玻璃瓶检测，医药领域也是机器视觉的主要应用领域之一。
　　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、图像识别应用
　　Image recognition application
　　图像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，在新能源电池、电路板、电子元器件、五金配件、食品、药品等领域应用较多。最典型的案例就是识别二维码。二维码和条形码是我们生活中极为常见的条码。在商品的生产中，厂家把很多的数据储存在小小的二维码中，通过这种方式对产品进行管理和追溯，随着机器视觉图像识别应用变得越来越广泛，各种材质表面的条码变得非常容易被识别读取、检测，从而提高现代化的水平、生产效率大大的提高、生产成本却逐渐降低。
　　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、物体分拣应用
　　Object sorting application
　　在机器视觉应用环节中，物体分拣应用是建立在识别、检测之后的一个环节，通过机器视觉系统将图像进行处理，结合机械臂的使用实现产品分拣。在过去的生产线上，是用人工的方法将物料安放到指定地点，再进行下一步工序。而现在则是使用自动化设备分料，其中使用机器视觉系统进行产品图像抓取、图像分析，输出结果，再通过机器人，把对应的物料、放到固定的位置上，从而实现工业生产的智能化、现代化、自动化。
　　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.
　　随着中国制造业的快速发展，企业对于机器视觉的需求也将逐渐增多，节约人工、提升速率、进步产物质量成为了当下经济情况下企业生计的必经之路,应用机器视觉检测技巧将能帮助企业在剧烈的竞争中立于不败之地。
　　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.