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- Smart Manufacturing
The conventional manufacturing sector stands at a crossroads necessitating a shift towards intelligent transformation. By incorporating advanced production technologies, a new era of industrial development is inaugurated.
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.
The integration of collaborative robots into production has become a pivotal element in the manufacturing chain, enhancing overall production efficiency. These compact collaborative industrial robots are designed to operate in confined spaces, addressing challenges posed by limited working spaces.
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.
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.
The US-China trade war has triggered a major reshuffle of the supply chain. The global manufacturing industry is facing unprecedented challenges. In the process of transforming smart manufacturing, the biggest problem is the integration of operating technology (OT) and information technology (IT). Only by working with the smart manufacturing ecosystem can we have a chance to survive in the changes and seize future business opportunities.
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.
Improving production efficiency is the foundation for the manufacturing industry to gain a firm foothold. The manufacturing industry achieves smart operations by introducing AI applications, automatically identifying abnormalities, or making adjustment suggestions, and assisting companies in achieving more accurate adjustments to machines and upgrading equipment. During the process, the traditional manufacturers are transformed into the smart manufacturers.
Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?
In recent years, Taiwan’s "mechanical transmission equipment industry", "pumps, compressors, stopcock and valve industry", "other general equipment and machinery", and other relevant industries have increased their production indexes, mainly because of the active demands for smart automation equipment which has driven the increase in overall output.
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 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.
The market demand is changing rapidly. How should the manufacturing industry transform itself to be more agile, greener, and more flexible, to meet the needs of customers and the government, and smart and agile manufacturing lays a solid foundation to resist the rapidly changing market.
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.
Machine vision uses the latest artificial intelligence technology to enable industrial equipment to observe and analyze tasks in smart manufacturing, quality control and labor safety, thereby improving product quality, reducing costs and optimizing operations.
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.
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