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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.
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.
Information is power. Information can not only adjust decision-making but also help discover market opportunities. Use advanced motion control technology to optimize the performance of automated machines.
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.
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?
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.
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.
Industrial robot system integrators are located at the downstream application end of the robot industry chain, providing application solutions to end customers. It is responsible for the secondary development of industrial robot applications and the integration of peripheral automation equipment and is an important part of industrial robot automation applications.
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.
With the fermentation of the metaverse theme, after the introduction of AI, Internet of Things, digital twin, AR/VR and other technologies in manufacturing smart factories, the pace of human-machine interface (HMI) intelligence is getting faster and faster. Among them, high elasticity, visibility and reliability will be the three major trends of its development.
How to make good use of digital technology to analyze, formulate strategies, and respond quickly at the core of enterprise operations has become the key to development.
To enhance competitiveness, manufacturers are driving a shift from a reactive problem-solving model to a more proactive device, process, product, and plant management model.
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