机器视觉检测技术在工业自动化生产制造业带来了新的改变!

发布时间:

2023-02-10 11:24

  信息获取的75%以上来自于视觉,机器视觉是对于人类视觉的再提升。机器视觉检测设备无疑比人眼更加强大,在很多环境下,人类的视觉变化已经越来越难满足要求。例如电子制造等行业的高速高精产线,往往速度快,工件小,非标件多,如果大量依靠人工,工人必可避免的疲劳等客观因素会带来非常高的误差,导致产品质量不稳定。因此,用机器视觉检测设备来替代人眼至关重要。

  More than 75% of information acquisition comes from vision, and machine vision is a further improvement of human vision. Machine vision detection equipment is undoubtedly more powerful than human eyes. In many environments, human visual changes have become increasingly difficult to meet the requirements. For example, high-speed and high-precision production lines in electronic manufacturing and other industries tend to be fast, with small workpieces and many non-standard parts. If a large number of workers rely on labor, objective factors such as fatigue that workers must avoid will bring very high errors, resulting in unstable product quality. Therefore, it is very important to replace human eyes with machine vision detection equipment.

  随着人工成本不可避免的不断提高、工人不稳定性影响品质问题显露,人的不确定因素成为劳动密集型制造的发展瓶颈。同时,我国产品制造模式的又一困境也在出现,即高端产品没人做、做不出,而低端产品质量差、易积压卖不出,产业结构非常不合理。

  With the inevitable increase of labor costs and the exposure of the problem of workers' instability affecting quality, human uncertainty has become the bottleneck of the development of labor-intensive manufacturing. At the same time, another dilemma of China's product manufacturing model is also emerging, that is, no one can do high-end products, while low-end products are of poor quality, easy to overstock and cannot be sold, and the industrial structure is very unreasonable.

  这些困境的根本出路就在于转型升级,同时提升智能化程度,用人工智能结合制造业,以人工智能+机器人去减少人工,降低人工造成的品质不稳定,质量差等问题,无疑是促进制造业转型升级的良好方法。

  The fundamental way out of these difficulties lies in transformation and upgrading, and at the same time, improving the degree of intellectualization. Using artificial intelligence combined with manufacturing, using artificial intelligence + robots to reduce artificial, and reducing the problems of unstable quality and poor quality caused by artificial, is undoubtedly a good way to promote the transformation and upgrading of manufacturing.

  机器视觉带来的新改变,机器视觉是最基础的单元技术,也是一种非接触式感知装置,在实际制造业的使用中,主要被用于自动获取与解释真实事物的影像,并取得图像来进行机器识别,反馈并控制制造流程。

  New changes brought about by machine vision. Machine vision is the most basic unit technology and a non-contact sensing device. In the actual manufacturing industry, it is mainly used to automatically obtain and interpret the image of real things, and obtain the image for machine recognition, feedback and control the manufacturing process.

  当前机器视觉的典型实现技术方式是用工业相机来完成,工业相机通过集成运动控制单元,能把运动图像采集到计算机,通过计算机识别反馈回到机器来执行动作调整。在原先,自动化设备是按照既有预定指令来执行,但加上视觉反馈后,同时也能根据对于环境感知,快速做出实时调整,使得设备智能性得到提升,执行的效率和准确性得到了提升。

  At present, the typical implementation technology of machine vision is to use industrial camera. Through the integrated motion control unit, industrial camera can collect the moving image to the computer, and then return to the machine through computer recognition and feedback to perform action adjustment. In the past, the automatic equipment was implemented according to the existing predetermined instructions, but after adding visual feedback, it can also make real-time adjustments quickly according to the environmental perception, which improves the intelligence of the equipment and the efficiency and accuracy of implementation.

  从生产线和智能工厂的角度来看,加入机器视觉后能很好提升制造水平。当前许多工厂设备已经实现了基本自动化,表现为能按照人的编程机械式重复运动,但如果给机器加上视觉,设备就能够根据不同环境条件来进行主动调整,从而在自动化设备基础上实现智能化。

  From the perspective of production lines and intelligent factories, the addition of machine vision can well improve the manufacturing level. At present, many factory equipment have achieved basic automation, which is manifested in the mechanical repetitive movement according to human programming. However, if the machine is added with vision, the equipment can actively adjust according to different environmental conditions, so as to realize intellectualization on the basis of automatic equipment.

  用机器视觉技术取代人工产业已经具备非常强的场景可行性。目前机器视觉在珠三角地区已经得到大范围应用。由于长三角珠三角地区是电子制造产业集中地,加工电子元器件、Pcb板以及手机组装等制造产业精细且比较小,同时有大量的强光作为背光,对人体的伤害非常大,这些场景无疑就非常适合机器视觉的应用。

  It is very feasible to replace the artificial industry with machine vision technology. At present, machine vision has been widely used in the Pearl River Delta. As the Yangtze River Delta and Pearl River Delta are the concentration of electronic manufacturing industry, the manufacturing industries such as processing electronic components, PCB boards and mobile phone assembly are fine and relatively small, and there are a large number of strong lights as backlights, which do great harm to human body, these scenes are undoubtedly very suitable for the application of machine vision.

  在未来,机器视觉的发展也有望大量替代人工,借助机器识别和信息处理,可以开拓的场景还有很多,机器视觉还可以提升工件的产品一致性和质量稳定性,机器视觉能很好完成检测等制造关键流程,提升产线的整体效率。例如在检测工件长度、宽度、厚度,以及例如在手机产业的屏幕粘乎和划痕检测等场景下,机器视觉都有着更多的发展空间。

  In the future, the development of machine vision is also expected to replace labor in a large number. With the help of machine recognition and information processing, there are still many scenes that can be developed. Machine vision can also improve the product consistency and quality stability of workpieces. Machine vision can well complete key manufacturing processes such as inspection and improve the overall efficiency of the production line. For example, machine vision has more room for development in the detection of workpiece length, width and thickness, as well as in the detection of screen stickiness and scratches in the mobile phone industry.

  除此之外,机器视觉还能实现更精准的定位,使得机器人在抓取过程中实现视觉定位和误差补偿。在 OCR识别上,机器视觉也大有可为,例如识别板面文字,判断漏缺,判断安装是否正确。

  In addition, machine vision can also achieve more accurate positioning, so that the robot can achieve visual positioning and error compensation in the process of grasping. In OCR recognition, machine vision also has great potential, such as recognizing board characters, judging omissions, and judging whether the installation is correct.

  但单一的机器视觉的应用场景其实也非常有限,机器视觉发展到如今已经有10-20年历史,在原先应用一直较少,随着近年来摄像头、光源等硬件成本的不断降低,以及计算机处理能力的提升,人工智能技术的大量进入,才逐渐越来越广泛进入到工业领域。

  However, the application scenario of single machine vision is also very limited. Machine vision has developed for 10-20 years now, and it has been less used in the past. In recent years, with the continuous reduction of hardware costs such as cameras and light sources, as well as the improvement of computer processing capacity, artificial intelligence technology has entered the industrial field more and more widely.

  软件和智能技术的发展,使得机器视觉的应用明显增多。在电子制造设备行业,机器视觉已经几乎成为标配,但在具体应用上,却往往还是采用传统机器视觉算法,加入AI的机器视觉算法仍然应用较少,因此机器视觉+人工智能的领域其实还仍然有非常大的市场空间。

  With the development of software and intelligent technology, the application of machine vision has increased significantly. In the electronic manufacturing equipment industry, machine vision has almost become a standard configuration, but in specific applications, traditional machine vision algorithms are often used, and machine vision algorithms with AI are still rarely used. Therefore, the field of machine vision + artificial intelligence still has a very large market space.

  用人工智能+机器视觉来做机器识别,优势非常明显,最为直接的体现在于能大大增加制造柔性。

  Using artificial intelligence + machine vision to do machine recognition has obvious advantages. The most direct embodiment is that it can greatly increase manufacturing flexibility.

  柔性制造往往表现为机器人等工业设备能够针对不同的位置、光照,以及复杂环境,呈现出更好的适应性。例如针对物体的颜色检测,如果采用传统的机器视觉,对于不同颜色的细微辨识度其实不高,某个颜色中如果出现深浅、偏色等轻微差别,传统机器识别就很容易出错,而用人工智能+机器视觉的方法就能够比较准确提升检测率和正确率。

  Flexible manufacturing often shows that robots and other industrial equipment can show better adaptability to different positions, lighting, and complex environments. For example, for the color detection of objects, if traditional machine vision is used, the subtle recognition of different colors is not high. If there are slight differences such as depth and color deviation in a certain color, traditional machine recognition is easy to make mistakes, and the method of artificial intelligence + machine vision can be more accurate to improve the detection rate and accuracy.

  采用AI的机器视觉来进行检测,也能更加方便进行人机交互,提升检测便利性。在原先,要实现精准点线面的指定位置检测往往需要通过人进行点击鼠标等操作,需要告诉视觉去检测哪个圆哪条线,但如今加入AI后,电路板放到产线上,就能通过强化学习等方式自动识别原先各个方面的问题,从而完成视觉+智能标定、智能尺寸量测和位置实时判断,效率和人机交互智能性都得到大大提升。

  Using AI machine vision for detection can also facilitate human-computer interaction and improve the convenience of detection. In the past, to realize the specified position detection of precise points, lines and surfaces, people often needed to click the mouse and tell the vision to detect which circle and which line. But now, after adding AI, the circuit board is placed on the production line, and the problems in all aspects of the original can be automatically identified by means of reinforcement learning, so as to complete visual + intelligent calibration, intelligent dimension measurement and real-time position judgment, Efficiency and human-computer interaction intelligence have been greatly improved.

机器视觉检测设备