机器视觉检测设备在自动化领域的优势及行业前景

　　机器视觉检测设备在自动化生产中具有提高生产效率、提高产品质量、降低成本和提高企业形象等优点。特别是在工业生产领域，机器视觉检测在保证生产的精度和速度，以及工业现场环境下的可靠性，在重复和机械性的工作中具有较大的应用价值，对企业而言是非常重要的环节。
　　Machine vision inspection equipment has the advantages of improving production efficiency, improving product quality, reducing costs, and enhancing corporate image in automated production. Especially in the field of industrial production, machine vision has significant application value in ensuring the accuracy and speed of production, as well as the reliability in industrial on-site environments. It is a very important link for enterprises in repetitive and mechanical work.
　　自动化视觉检测设备在检测作业中用于产品外形和表面缺陷检测，如电子元件的加工检测、金属表面视觉检测、二极管基片检查、印刷电路板缺陷检查、焊缝缺陷自动识别等。利用视觉系统的非接触、速度快、精度合适、现场抗干扰能力强等突出的优点，使机器视觉技术得到了广泛的应用，取得了巨大的经济与社会效益。
　　Automated visual inspection equipment is used for product appearance and surface defect detection in inspection operations, such as processing inspection of electronic components, metal surface visual inspection, diode substrate inspection, printed circuit board defect inspection, and automatic recognition of weld seam defects. By utilizing the outstanding advantages of non-contact, fast speed, appropriate accuracy, and strong on-site anti-interference ability of the visual system, machine vision technology has been widely applied and has achieved enormous economic and social benefits.

　　视觉检测在工业制造中的应用具有无法替代的优势，如：
　　The application of visual inspection in industrial manufacturing has irreplaceable advantages, such as:
　　1、检测效率：工业自动化的快速发展，使生产效率大幅提升，从而对检测效率提出了更高的要求。人工检测效率是在一个固定区间，无法大幅提升，而在流水线重复且机械化的检测过程中，检察人员很容易出现疲劳而导致检测效率降低;而机器视觉能够更快的检测产品，特别是在生产线检测高速运动的物体时，机器能够提高检测效率，速度甚至能够到达人工10-20倍。
　　Testing efficiency: The rapid development of industrial automation has greatly improved production efficiency, thus placing higher demands on testing efficiency. The efficiency of manual testing is within a fixed range and cannot be significantly improved. However, during the repetitive and mechanized testing process on the assembly line, inspectors are prone to fatigue, which can lead to a decrease in testing efficiency; And machine vision can detect products faster, especially when detecting high-speed moving objects on the production line. Machines can improve detection efficiency, and the speed can even reach 10-20 times that of manual labor.
　　2、精度：由于人员有物理条件的限制，即使是依靠放大镜或显微镜来检测产品，也会受到主观性方面的影响，精度无法得到保证，而且不同的检测人员的标准也会存在有差异；在精确性上机器有明显的优点，它的精度能够达到千分之一英寸。而且机器不受主观控制，只要参数设置没有差异，相同配置的多台机器均能保持相同精度。
　　Accuracy: Due to the physical limitations of personnel, even relying on a magnifying glass or microscope to detect products can be subjectively affected, and accuracy cannot be guaranteed. Additionally, there may be differences in the standards of different testing personnel; The machine has obvious advantages in terms of accuracy, with an accuracy of up to one thousandth of an inch. Moreover, the machine is not subject to subjective control, and as long as there are no differences in parameter settings, multiple machines with the same configuration can maintain the same accuracy.
　　3、客观性：人工检测难免会出现疲劳，同时有一个致命缺陷，就是情绪带来的主观性，检测结果会随检察人员心情的好坏产生变化；而机器没有喜怒哀乐，它所带来的检测结果自然更加客观可靠。
　　Objectivity: Manual testing inevitably leads to fatigue, and at the same time, there is a fatal flaw, which is the subjectivity brought by emotions. The test results will vary with the mood of the prosecutor; And since machines lack joy, anger, and sorrow, the detection results they bring are naturally more objective and reliable.
　　4、重复性：机器可以以相同的方法一次一次的完成检测工作而不会感到疲倦；与此相反，人工长期重复性检测肯定会产生疲劳，同时每次检测产品时都会有细微的不同，即使产品是完全相同。
　　Repeatability: The machine can complete the testing work in the same way one at a time without feeling tired; On the contrary, manual long-term repetitive testing will definitely lead to fatigue, and there will be slight differences every time the product is tested, even if the product is completely the same.
　　5、环境：机器视觉是通过即图像摄取装置将目标转换成图像信号，传送给专用的图像处理系统，在测量工件过程中，无需与工件进行接触，因此能够适应恶劣危险生产环境，同时也不会对工件造成接触性损伤；而人工则需要与工件进行接触性检测，因为无法应对恶劣环境，且在检查过程中不可避免的会对工件造成接触性损伤。
　　Environment: Machine vision converts the target into an image signal through an image capture device and transmits it to a dedicated image processing system. During the measurement process of the workpiece, there is no need to contact the workpiece, so it can adapt to harsh and dangerous production environments without causing contact damage to the workpiece; However, manual labor requires contact testing with the workpiece, as it cannot cope with harsh environments and inevitably causes contact damage to the workpiece during the inspection process.
　　6、成本机器视觉前期投入会比较多，但属于一次性投入，长期产出，由于机器视觉的发展越来越迅速，价格也会逐渐降低；而人工检测则需要长期投入，且人工管理成本会呈不断上升的趋势。由于机器比人工的检测效率高很多，因此长期来看，机器视觉成本会更低。
　　The initial investment in cost machine vision will be relatively high, but it belongs to one-time investment and long-term output. Due to the rapid development of machine vision, prices will gradually decrease; However, manual testing requires long-term investment, and the cost of manual management will continue to rise. Due to the much higher detection efficiency of machines compared to manual labor, the cost of machine vision will be lower in the long run.
　　7、信息集成：机器视觉可以通过多工位检测方法，一次性完成待检产品的轮廓、尺寸、外观缺陷、产品高度等多技术参数的测量；而人工检测在面对不同的检测内容时，只能通过多工位合作协调完成，而不同员工检测标准不一，极容易出现误检的情况。
　　Information integration: Machine vision can complete the measurement of multiple technical parameters such as the contour, size, appearance defects, and product height of the product to be inspected in one go through multi-station detection methods; When faced with different testing contents, manual testing can only be completed through cooperation and coordination among multiple workstations, and different employees have different testing standards, which can easily lead to false testing.
　　8、数字化：机器视觉在工作过程中产生的说要测量数据，均可独立拷贝或以网络连接方式拷出，便于生产过程统计和分析。同时还可在检测后导出指定数据并生产报表，无需人工一一添加，这无疑大大优于人工检测的数据统计。
　　Digitization: The measurement data generated by machine vision during the work process can be independently copied or copied through network connection, making it easy for production process statistics and analysis. At the same time, it can also export specified data and produce reports after detection, without the need for manual addition one by one, which is undoubtedly much better than manual detection of data statistics.
　　机器视觉对比人工检测具有自动化、客观、非接触和高精度等特点。工业制造在未来的发展中，视觉检测设备将会越来越广泛地应用于各个领域，成为提高企业核心竞争力的重要设备。
　　Machine vision has the characteristics of automation, objectivity, non-contact, and high accuracy compared to manual detection. In the future development of industrial manufacturing, visual inspection equipment will be increasingly widely used in various fields, becoming an important equipment to improve the core competitiveness of enterprises.