In recent years, developed nations have initiated comprehensive power grid upgrade initiatives. In line with its commitment to energy conservation and carbon reduction policies, Taiwan has advanced the implementation of Automated Metering Infrastructure (AMI) as part of its national energy-saving strategy. The plan encompasses the integration of 4G/5G and other communication industries. The noteworthy progress in the development and integration of smart grid applications with 5G communication technology represents a significant industrial advancement deserving of attention.

5G is recognized as a key enabler of Industry 4.0. With its high network speed and low power consumption, 5G facilitates the connectivity of every sensor in the upcoming unmanned factory to the cloud. This connectivity allows for the extraction of data for analysis, ultimately fueling advancements in artificial intelligence.

In the trend of industrial automation, motion control is a key part of it. Automating operations through machines can avoid a lot of human error, and can also speed up production efficiency and efficiency. How to make the machine act according to the command is the application category of machine motion control.

Nowadays, the traditional industry combines the technology of the Internet of Things, towards the innovation of Industry 4.0 and the development of intelligent manufacturing.

"Efficiency" is the most important key in the pursuit of success in the manufacturing process and the entire industry.

With the global economic development, the demand of the consumer market has driven the vigorous growth of the textile industry. However, under the business model of production-based sales, excessive production has not only caused environmental pollution but has also caused unnecessary waste of resources. Over the past few years, this has led the United Nations and the European Union, to begin to advocate "sustainability" and "environmental protection" as the focus of global development for the next 10 years.

With the soaring volume of e-commerce transactions, the demand for logistics is also rising. In the process of industry transformation and upgrading, smart technology has become one of the keys to industry development.

In the trend of industrial automation, motion control is a key part of it. Automating operations through machines can avoid a lot of human error, and can also speed up production efficiency and efficiency. How to make the machine act according to the command is the application category of machine motion control.

With the rise of global environmental protection awareness, the improvement of process efficiency and pollution reduction of plastic products have become important issues for the rubber and plastic industry. In response to the shortage of workers and the reduction of personnel contact, mechanical automation and cloud services have become the new normal in the industry.

With the global economic development, the demand of the consumer market has driven the vigorous growth of the textile industry. However, under the business model of production-based sales, excessive production has not only caused environmental pollution but has also caused unnecessary waste of resources. Over the past few years, this has led the United Nations and the European Union, to begin to advocate "sustainability" and "environmental protection" as the focus of global development for the next 10 years.

To realize the smart city of the future, it is indispensable to build a safer and more efficient traffic environment, and smart vehicles with networking and various advanced functions are the key.

With the rapid development of the automotive industry in smart driving, safety assistance, automotive electronics, and human-machine interface-related technologies, the integration of virtual and real superimposed displays, driver monitoring systems (DMS), interactive functions, Internet of Things (IoT) of the smart cockpit system have become the current trend.

With the application of rubber and plastic more and more widely, rubber and plastic machinery is becoming more and more intelligent.

As one of the fastest-growing emerging economies in the world, India has a huge demographic dividend and is expected to catch up with China to become the world's most populous country. Coupled with its solid training in scientific and technological talents and its advantages in English, it has attracted a large amount of foreign investment. India is considered will become the new world factory.

By embedding dynamic force sensors in the machine and matching them with analysis software, it provides an intelligent solution for the machine. Expand the scope of application, increase production capacity and reduce waste in the customer's manufacturing process, thereby reducing energy consumption and moving towards energy saving and waste reduction.

The development of smart sensors can be a high degree of integration of mechanical, electrical, software/firmware, circuit, and sensor knowledge.

With the rise of global environmental protection awareness, the improvement of process efficiency and pollution reduction of plastic products have become important issues for the rubber and plastic industry. In response to the shortage of workers and the reduction of personnel contact, mechanical automation and cloud services have become the new normal in the industry.

The image recognition function of artificial intelligence (AI) is becoming more and more powerful. Face recognition, license plate recognition, and object recognition are not uncommon. In the fields of smart manufacturing and warehousing logistics, more and more manufacturers are beginning to introduce AI technology into more special applications.

The rising trend of e-commerce and retail online shopping has directly led to the improvement of distribution performance. In addition to the continuous expansion of the operating territory of local distribution companies, offline retail and mass stores have begun to carry out a series of measures to shorten delivery time and improve service quality.

Refers to the use of imaging, medical image processing technology, and other possible physiological and biochemical means, combined with computer analysis and calculation, to assist radiologists in finding lesions and improve the accuracy of diagnosis.