工业4.0视觉检测系统及高度自动化势在必行
发布时间：
2023-02-10 11:30
不得不承认机器视觉检测系统的高度自动化在工业生产中扮演着非常重要的角色。视觉检测技术与工业自动化相互促进，视觉技术的推动高度集成化。机器视觉检测技术是研究试图建立从图像或者多维数据中获取“所需信息”的人工智能识别系统。那么，机器视觉检测系统是如何推进工业自动化进程的？
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.图像识别
1.Image recognition
图像识别即图像摄取装置，将被拍摄的目标转化为图像信息。在传给专门的图像处理系统，根据像素的分布、亮度和颜色等信息，转变为数字化信号，图像系统在对这些信号进行各种运算来抽取目标的特征，进而根据判断的结果来控制现场的设备来进行一系列的操作。
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。
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.视觉定位
2.Visual orientation
视觉定位能够准确的检测到产品并且确认它的位置。
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。
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.物体测量
3.Object measurement
机器视觉工业应用最大的特点就是其非接触测量技术，由于非接触无磨损，所以避免了接触测量可能造成的二次损伤隐患。
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.
机器视觉，就是使机械设备具备“看得见”的能力，好比人有了眼睛才能看得到物品。机器视觉对物体进行测量，不需要像传统人工一样对产品进行接触，但是其高精度、高速度性能一样不少，不但对产品无磨损，还解决了造成产品的二次伤害的可能，这对精密仪器的制造水平有特别明显的提升。对罗定螺纹、麻花钻、IC元件管脚、车零部件、接插件等的测量，都是非常普遍的测量应用。
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.图像检测
4.Image detection
人工肉眼检测往往会遇到很多问题，比如准确性太低，容易有误差，不能连续工作且易疲劳，而且费时费力。机器视觉的大量应用将产品生产和检测进入到高度自动化。
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币字符检测、电路板检测等。以及人民币造币工艺的检测，对精度要求特别高，检测的设备也很多，工序复杂。此外还有机器视觉的定位检测，饮料瓶盖的生产是否合格、是否有问题，还有产品的条码字符的检测识别，玻璃瓶的缺陷检测、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。
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.物体分拣
5.Object sorting
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。
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过去的生产线上，是用人工的方法将物料安放到注塑机里，再进行下一步工序。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。
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.
各级生产企业通过对机器视觉检测系统的现场应用，在实时监控产品生产质量、提高生产效率的同时，还可以大幅节约人工成本，是制造业在面向工业4.0时代的最佳选择。为提高质量保持竞争力，各领域的视觉检测及高度自动化势在必行。
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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