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基于视觉检测系统的工作原理,其主要的应用领域盘点

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  所谓的机器视觉检测技术主要用计算机来模拟人的视觉功能,把客观事物的图像信息提取、处理并理解,最终用于实际检测、测量和控制。基于机器视觉的工作原理,在各个领域中又有哪些突出的优点呢?
  The so-called machine vision mainly uses the computer to simulate the human visual function, extracts, processes and understands the image information of the objective things, and finally applies to the actual detection, measurement and control. Based on the working principle of machine vision, what are the outstanding advantages in various fields?
  1.基于机器视觉的扫描、刷脸支付方案:
  Scanning and face brushing payment scheme based on machine vision
  基于机器视觉的扫描、刷脸支付方案,集成人脸识别、扫码支付的处理模块,便捷、安全的人脸识别可成为保证冬奥会安保的小助手,人员出入可以得到明确的数据统计,以确保会场的安全。
  The scanning and face brushing payment scheme based on machine vision integrates the processing module of face recognition and scanning code payment. The convenient and safe face recognition can become a small assistant to ensure the security of the Winter Olympic Games. The personnel can get clear data statistics to ensure the safety of the venue.
  2.机器视觉辅助自动驾驶
  Machine vision assisted automatic driving
  自动驾驶汽车离不开机器视觉技术,障碍物检测及道路检测都需要应用机器视觉技术。
  Automatic driving vehicle cannot do without machine vision technology. Obstacle detection and road detection require machine vision technology.
  障碍物检测的准确率是车辆自动驾驶过程中安全性的重要保证。基于立体视觉的障碍物检测因为既不需要障碍物的先验知识,对障碍物是否运动也无限制,还能直接得到障碍物的实际位置而成为主流研究方向。
  The accuracy of obstacle detection is an important guarantee in the process of vehicle automatic driving. Obstacle detection based on stereo vision has become the mainstream research direction because it does not need the prior knowledge of obstacles, has no restrictions on whether the obstacles move or not, and can directly get the actual position of obstacles.
  自动导航是自动驾驶的必要条件,自动驾驶过程中,道路检测主要是为了确定车辆在道路中的位置和方向,以便控制车辆按照正确的路线行驶。
  Automatic navigation is a necessary condition for automatic driving. In the process of automatic driving, the main purpose of road detection is to determine the position and direction of the vehicle in the road, so as to control the vehicle to drive according to the correct route.
  目前,机器视觉技术在自动驾驶中并没有进行大规模的应用,机器人产学研联盟机器视觉领域专家表示,其实这并非是硬件的问题,事实上摄像头技术在汽车中的应用已经十分成熟,最终难点仍然在于模拟神经网络的视觉算法。
  At present, machine vision technology has not been widely used in automatic driving. Experts in the field of machine vision of robot industry university research alliance say that in fact, this is not a hardware problem. In fact, the application of camera technology in automobile has been very mature, and the final difficulty is still to simulate the visual algorithm of neural network.
机器视觉识别技术
  3.工业视觉检测
  Industrial visual inspection
  机器视觉可以快速获取大量信息,并进行自动处理。机器视觉可说是工业自动化系统的灵魂之窗,从物件/条码辨识、产品检测、外观尺寸量测到机械手臂/传动设备定位,都是机器视觉技术可以发挥的舞台。
  Machine vision can get a lot of information quickly and process it automatically. Machine vision can be said to be the soul window of industrial automation system. From object / barcode identification, product detection, appearance dimension measurement to robot arm / transmission equipment positioning, machine vision technology can play a role.
  4.机器视觉与安防大碰撞
  Machine vision and security collision
  机器视觉中的目标识别、目标追踪、双目技术、多球机跟踪联动技术技术应用为安防行业带来改变。如果把摄像机看作人的眼睛,而智能视频分析系统可以理解为人的大脑,智能视频分析技术借助处理器的强大计算功能,对视频画面中的海量数据进行高速分析,获取人们需要的信息。
  The application of target recognition, target tracking, binocular technology and multi ball machine tracking linkage technology in machine vision has brought changes to the security industry. If the camera is regarded as human eyes, and the intelligent video analysis system can be understood as the human brain, intelligent video analysis technology with the powerful computing function of the processor can analyze the massive data in the video screen at high speed, and obtain the information that people need.
  当机器视觉与图像处理技术加入之后,打破了原有的限制,得以设计出一个实时视频监控系统。该系统在实现视频监控同时,通过运用机器视觉技术,增加了视频变化检测和自动录像功能,系统能够自动识别场景变化,检测出运动目标并锁定,同时发出警告和启动存储装置。这样不仅可以节省大量存储空间,提高监控存储效率,减少不必要的回放,而且数据更加具有针对性。
  When machine vision and image processing technology are added, the original limitations are broken, and a real-time video monitoring system is designed. At the same time, through the use of machine vision technology, the system adds video change detection and automatic recording functions. The system can automatically identify scene changes, detect moving objects and lock them, and send out warnings and start storage devices. This can not only save a lot of storage space, improve the monitoring storage efficiency, reduce unnecessary playback, but also make the data more targeted.
  5.机器视觉用于医疗影像诊断
  Machine vision for medical imaging diagnosis
  医疗数据中有超过 90% 的数据来自医疗影像。医疗影像领域拥有孕育深度学习的海量数据,医疗影像诊断可以辅助医生,提升医生的诊断的效率。
  More than 90% of medical data come from medical images. In the field of medical imaging, there is a huge amount of data pregnant with deep learning. Medical imaging diagnosis can assist doctors and improve the efficiency of doctors' diagnosis.
  机器视觉检测技术在各大领域的逐渐渗透,也慢慢开始向更多的领域发展,为各行各业提自动化的检测技术,助力企业的快速发展。
  With the gradual penetration of machine vision detection technology in various fields, it has gradually begun to develop into more fields, providing automatic detection technology for all walks of life and helping the rapid development of enterprises.