Machine vision is a key branch of artificial intelligence. It has very common applications, and can be applied to intelligent manufacturing and many intelligent life fields. The core of machine vision is to replace human eyes with "machine eyes", input image and video into visual algorithms for calculation, and finally obtain the information needed by human beings.



1、 Face recognition
Face recognition is the most commonly used application in the fields of artificial intelligence, vision and image. It is a biotechnology that relies on machine vision to detect and identify people based on their facial features. At present, face recognition technology has been widely used in financial, judicial, factory, education, medical and other industries.

2、 Video monitoring analysis
Machine vision recognition technology can quickly retrieve and query structured video content information such as people, vehicles and objects. This application program enables the public security system to find criminals in simple surveillance videos, and is also widely used in crowd analysis, prevention, control and early warning of traffic hubs with large populations.

3、 Image recognition analysis
Most of the image data are held by large Internet companies, and the data resources of start-ups are scarce. Image recognition here mainly refers to static image recognition in addition to face recognition. For example, an application of mobile phone Taobao: Pailitao, which uses machine vision to automatically find what you want.

4、 Automatic driving/auxiliary intelligent driving
The autonomous vehicle is a kind of intelligent vehicle that can be driverless by computer. The rapid development of machine vision system has promoted the maturity of autonomous driving technology. At present, it is mainly used in the perception stage, and will continue to make breakthroughs in the planning and control stage.

5、 3D image vision
3D image vision is mainly used for 3D object recognition. It is applied to 3D visual modeling, 3D maps and other fields. It can only reflect objects and provide more information.

6、 Industrial visual inspection
Industrial machine vision is suitable for some dangerous working environments or situations where artificial vision cannot meet the requirements. Machine vision detection can quickly obtain a large amount of information and automatically process it. In the process of industrial automation, machine vision systems are widely used in the fields of condition monitoring, defect diagnosis and quality control, which can improve the flexibility and automation of production.

7、 Medical Imaging Diagnosis
More than 90% of medical data comes from medical images using machine vision technology. The medical imaging field has massive data that breeds deep learning, which can assist doctors and improve their diagnostic efficiency.


8、 Character recognition
Character recognition, commonly known as optical character recognition, is the use of optical technology and computer technology to read or write characters on paper, and convert them into a format that can be accepted by computers and understood by people. Machine vision automation is a key technology to achieve high-speed character recording, image and video editing, which is favored by card, bill, publication, entity identification and other scenes.


9、 Image and video editing
Machine vision technology can realize the automatic repair, beautification, transformation effect and other operations of pictures, and can greatly save the design labor cost for enterprises to carry out rapid, batch and automatic picture design.