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?
Scanning and face brushing payment scheme based on machine vision
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.
Machine vision assisted automatic driving
Automatic driving vehicle cannot do without machine vision technology. Obstacle detection and road detection require machine vision technology.
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.
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.
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.
Industrial visual inspection
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.
Machine vision and security collision
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.
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.
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.
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.