Machine vision is an important branch of artificial intelligence, widely used, can be applied in the field of intelligent manufacturing and many intelligent life; Unique technology, is the only non-contact recognition, measurement of the cutting-edge technology; Low cost, no pressure on the cost of products, so that the product design, customer demand grasp more flexibility, but also to have a stronger profitability.

1, face recognition

Face recognition is the most popular application in the field of artificial intelligence vision and image, which has been widely used in finance, justice, military, public security, border inspection, government, aerospace, power, factories, education, medical and other industries. According to industry analysis, China's face recognition industry demand is high, demand push leads to enterprises dare to invest capital. At present, the technology is ready for large-scale commercial use and will grow rapidly in the next three to five years. This year, the technology is expected to explode in finance and security.

2. Video/surveillance analysis

Video/surveillance analytics is the second most popular application of artificial intelligence in vision and imagery.

Artificial intelligence technology can quickly retrieve and query structured video content information such as people, cars and objects. The app makes it possible for the police to sift through a thicket of surveillance video to find criminals. In traffic hubs where large numbers of people flow, the technology is also widely used in crowd analysis, prevention and control early warning, etc.

The video/surveillance sector has a wide margin of profit and a variety of business models, which can provide overall industry solutions or sell integrated hardware devices. The use of technology in video and surveillance is a growing trend among AI companies that will lead to applications in sectors such as security, transportation and even retail.

3. Picture recognition and analysis

Still image recognition is the third most popular application in the field of vision and image. There are several reasons why the number of application companies that use artificial intelligence technology solely for image recognition and analysis is not as high as expected:

1) At present, there is a large profit space in the direction of video surveillance, and many enterprises pay attention to the field of video surveillance;

2) Face recognition belongs to an application scenario of picture recognition, most of the enterprises doing face recognition are also providing picture recognition services, but the sales effect is not good, the main profit point is face recognition;

3) Most commercial scenes of picture recognition still belong to the blue ocean, with potential to be developed;

4) Image data are mostly controlled by large Internet enterprises, while data resources of start-up companies are scarce.

4. Driving assistance/intelligent driving

With the popularity of cars, cars have become a very big application direction of artificial intelligence technology, but at present, there is still some way to go before the technology is mature to fully realize autonomous driving/driverless driving.

However, there are more and more functions and applications of driving assistance in cars using artificial intelligence technology, most of which are based on computer vision and image processing technology.

5. Industrial testing

Machine vision can quickly acquire a large amount of information, and automatic processing. In the process of automatic production, machine vision system is widely used in the field of working condition monitoring, finished product inspection and quality control.

Machine vision system is characterized by improving the flexibility and automation of production. Used in some dangerous working environment or artificial vision is difficult to meet the requirements of the occasion; In addition, in the process of mass industrial production, machine vision inspection can greatly improve the production efficiency and the degree of automation of production.

6. Medical imaging diagnosis

More than 90 percent of medical data comes from medical imaging. The field of medical imaging has massive data breeding deep learning. Medical imaging diagnosis can assist doctors and improve the efficiency of doctors' diagnosis.

7. Character recognition

Character recognition is the use of optical technology and computer technology to print or written on paper text or bar code read out, and converted into a computer can accept, people can understand the format. This is a key technology to realize high-speed text input.

Machine vision has gradually broken through industrial detection in the application scene, and its application boundary has gradually expanded to the field of intelligent life. Because machine vision has different technical characteristics and application progress in the two fields of intelligent life and intelligent manufacturing, the industry development trends of machine vision in these two fields are not the same.