With the growing demand for personalization and the influence of AI, 5g, automatic driving and other trends, the market demand of electronic products is constantly refreshed. Today's enterprises must have the ability of rapid product iteration to occupy a place in the future market. In 2018, many industrial automation and robot manufacturers brought the most advanced electronic manufacturing solutions.

With the development of Internet of things, big data and other technologies, the new generation of industrial 4.0 production mode has become the trend of manufacturing industry. More sensors are installed in the production equipment. Through network connection, the seamless connection of machines, people and data is realized. The collected equipment data is analyzed, the prediction and maintenance of machines are carried out, and the division of labor is reasonably arranged and deployed, so as to improve the production efficiency and reduce the production cost.

Using machine learning algorithm can help the machine to obtain higher production capacity, realize intelligent visual detection, location tracking and autonomously deal with the changes in production. This is the ideal effect of the so-called intelligent manufacturing. For the complex processes and changing devices in the electronic manufacturing industry, its automation equipment must have more powerful processing capacity.