Is the key technology in the AI ​​field a revolutionary change based on machine vision?

Industry Science and Technology News learned from the intelligent manufacturing dynamics: After years of development, machine vision technology has entered a period of rapid development. With the advent of China Manufacturing 2025 and Industry 4.0, the demand for machine vision technology in the manufacturing industry, which is highlighted by automation requirements, will also increase dramatically. In the future, machine vision will be the next frontier of artificial intelligence.

Machine vision technology has now been successfully applied to industrial robots and has become a core technology. Utilizing drones, autonomous driving, smart doctors, intelligent security and other applications continue to break through, the global Internet and semiconductor giants have laid out, showing that intelligent image processing will be the next arena, perhaps means that machine vision technology has ushered in the golden period of development. What prompted the development of machine vision technology so quickly? There are three main reasons for this:

First of all, the human eye in the industrial production line can not meet the requirements of industrial upgrading in terms of accuracy and efficiency. High-precision products can only rely on machine vision. Secondly, the demand for machine vision technology such as artificial intelligence and unmanned driving is more demanding on machine vision technology, and the algorithm is more verbose and changeable. The existing technology used in industrial production lines cannot be satisfied. This factor is also the biggest thrust of today's machine vision. Finally, policy environments such as Industry 4.0 and Smart Manufacturing inject machine vision into the core of national strategy. Then, the improvement of the level of factory intelligence will cause machine vision to change in the field of intelligent manufacturing.

The continuous maturity of machine vision technology has directly led to an increase in manufacturing information acquisition capabilities. Vision and image technology are installed in intelligent hardware such as cameras, sensors, and radars to enable image information acquisition and analysis. Information is expanded from traditional single-dimensional data to multi-dimensional massive data including speed, size, chromatogram and other information, and integrated with design information and processing control information to provide data support for subsequent production conditions such as condition monitoring and quality inspection. The access to manufacturing information has been expanded, and the efficiency of information acquisition has increased significantly.

Machine vision combined with information technology is conducive to improving the level of intelligent production monitoring. In industrial applications, machine vision is generally used for item identification, appearance detection and positioning. With the continuous development of information network technology, machine vision is combined with information network technologies such as big data and cloud computing to realize the service function after data acquisition. extend. Enterprises began to use machine vision technology to obtain data information, and carry out big data calculation through information network technology, assist in equipment operation monitoring and product quality analysis, and promote the intelligent level of production lines.

Machine vision technology embedded applications help optimize automation system solutions. Machine vision with logic control, motion control, data acquisition, communication network and other functions, can complete image recognition, detection, visual positioning, object measurement and sorting, etc., especially the machine vision technology embedded in the industrial robot control system, through Accurate identification and capture greatly enhances the flexibility and flexibility of the production process and optimizes automation system solutions. So, which areas of machine vision technology are mainly applied? Mainly by the following.

Throughout the current visual technology applied in industrial production can be roughly divided into two categories: quality control and auxiliary production. A typical industrial machine vision application system, including digital image processing technology, mechanical engineering technology, control technology, light source Lighting technology, optical imaging technology, sensor technology, analog and digital video technology, computer hardware and software technology, human-machine interface technology.

China's industrial robot market has great potential for development, which is bound to cause new growth in machine vision. China is in the turning point of industrial robot development, and the market potential is huge. According to IFR, the Chinese market is dominant in the development of industrial robots. In 2018, one third of the world's industrial robots will be installed in China, which will inevitably lead to machine vision. Wide range of applications.

Drone, autonomous driving

Machine vision is the primary solution for unmanned drones. Intelligent drones will maintain a growth rate of more than 50% in the next few years, exceeding 10 billion yuan in 2018. In addition, Tesla, time-sharing leases add new popularity to autonomous driving, and machine vision benefits. Recently, the Tesla model3 with automatic driving system has exceeded expectations, and the localization has been confirmed by the top management. It will definitely cause the domestic industry chain to flourish, and machine vision will be an important beneficiary.

It is estimated that the global medical robot sales growth rate will be about 55% in the next three years, and the compound growth rate of surgical robots and rehabilitation robots will reach 30% and 47% in the next five years. It can be seen that the medical robot has a huge market space waiting for excavation, and the machine vision adds thrust.

Intelligent security is an important part of smart cities in China. So far, China has nearly 300 smart city pilots. Machine vision can achieve intelligent supervision through biometrics, intelligent event analysis, and terahertz technology, freeing up a lot of manpower and greatly improving efficiency.

The textile production method of the Industrial 4.0 era may be different, and it will provide customized personalized goods through effective data processing. Once the customer decides which model to choose, the image processing system (machine vision system) will measure its dimensions. Future fashion houses will no longer be filled with a few cabinets of merchandise, but will serve customers by providing a large number of virtual choices and fast and reliable production processes.

High Speed Blender

High Speed Blender,Ipl Laser Hair Removal,Diy Laser Hair Removal,Best Ipl Hair Removal,Epilator Ipl

SHENZHEN CHONDEKUAI TECHNOLOGY CO.LTD , http://www.siheyidz.com