机器视觉检测技术在自动化生产线中的重要应用

　　通过数字处理结合像素分布显示的亮度和颜色等信息确定大小、形状和颜色。这种快速性和可重复性与人类视觉的高度智能化和抽象的能力相结合，就是机器视觉检测技术，如今，视觉检测技术在工业中的应用越来越广泛，并且有着不可替代的重要作用。具体表现在以下几个方面。
　　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、视觉引导和定位应用
　　Visual guidance and positioning applications
　　视觉定位要求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 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, 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、在产品外观的缺陷检测
　　Defect detection on product appearance
　　在产品的自动化生产过程中检测产品质量问题，是视觉检测技术取代人工比较多的应用。例如在食品饮料行中中，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。
　　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。
　　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、高精度检测的应用
　　Application of high-precision detection
　　在动力电池毛刺检测、pcb电路板检测等行业中，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。这也是机器视觉检测技术的一个关键性的应用，对于检测的技术要求也比较高，检测精准度也会大大的提升。
　　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、图像识别的应用
　　Application of Image Recognition
　　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。
　　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。
　　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、物品的自动化分拣
　　Automated sorting of items
　　物体自动化分拣的应用是建立在识别、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。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。
　　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.
　　随着工业自动化行业进程的加速与普及，视觉检测技术的应用也会逐渐的广泛，视觉检测技术在节约人工、提升速率、把控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 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.