机械视觉检测手艺在自动化行业中的主要应用

宣布时间：

2023-02-10 11:24

　　在实现自动化生产的历程中，总是会发明机械视觉检测装备的“身影”�；凳泳跫觳馐忠漳芄煌ü鼵CD摄影机获取的图像信息通过传输给盘算机举行剖析并且做出判断，是一种与人类视觉的高度智能化和笼统的能力相团结。在现实生产历程中，视觉检测手艺事实起到了哪些主要的作用呢？让我们逐一来盘货。
　　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、视觉指导和定位应用
　　Visual guidance and positioning application
　　视觉定位要求机械视觉系统能够快速准确地找到被测零件并确认其位置，上下料使用机械视觉来定位，指导机械手臂准确抓取。在半导体封装领域，装备需要凭证机械视觉取得的芯片位置信息调解拾取头，准确拾取芯片并举行绑定，这就是视觉定位在机械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.
　　别的，在半导体制造领域，芯片位置信息调解拾取头很是欠利益置，机械视觉则能够解决这个问题，由于需要准确拾取芯片以及绑定，这也是视觉定位成为机械视觉工业领域最基本应用的缘故原由。
　　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
　　陪同着现代工业自动化的生长，机械视觉检测被普遍应用到种种各样的检查、丈量和零件识别，例如新能源动力电池外貌缺陷检测、电子元器件识别、磁性子料外观缺陷检测、产品包装上的条码和字符识别等，这类应用的配合特点是一连大批量生产、对外观质量的要求很是高。随着经济水平的提高，机械视觉检测越来越受到重视。它可以提高及格产品的生产能力，在生产历程的早期就报废劣质产品，从而镌汰了铺张节约本钱。
　　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。例如机械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
　　有些产品的细密度较高，抵达0.01~0.02m甚至到u级，人眼无法检测必需使用机械完成。最典范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，医药领域也是机械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
　　图像识别就是使用机械视觉对图像举行处置惩罚、剖析和明确，以识别州差别模式的目的和工具�？梢缘执锸莸淖匪莺褪章�，在新能源电池、电路板、电子元器件、五金配件、食物、药品等领域应用较多。最典范的案例就是识别二维码。二维码和条形码是我们生涯中极为常见的条码。在商品的生产中，厂家把许多的数据贮保存小小的二维码中，通过这种方法对产品举行治理和追溯，随着机械视觉图像识别应用变得越来越普遍，州材质外貌的条码变得很是容易被识别读取、检测，从而提高现代化的水平、生产效率大大的提高、生产本钱却逐渐降低。
　　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
　　在机械视觉应用环节中，物体分拣应用是建设在识别、检测之后的一个环节，通过机械视觉系统将图像举行处置惩罚，团结机械臂的使用实现产品分拣。在已往的生产线上，是用人工的要领将物料安顿到指定所在，再举行下一步工序。而现在则是使用自动化装备分料，其中使用机械视觉系统举行产品图像抓取、图像剖析，输出效果，再通过机械人，把对应的物料、放到牢靠的位置上，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生长，企业关于机械视觉的需求也将逐渐增多，节约人工、提升速率、前进产品质量成为了当下经济情形下企业生计的必经之路,应用机械视觉检测技巧将能资助企业在强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.

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