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.

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.

In an increasingly connected society, technology has brought about changes and reshaped business models. Through the epidemic, and looking forward to the future, emerging technologies can help companies break through business challenges and create a fairer and more resilient society. The following will summarize and explain the ten technology trends that will shape the industry in 2022.

The development of new technologies has brought the whole world into the era of the Internet of Things. This new era has more advancements in the area of intelligent design than the information age, and smart sensors have played an indispensable role in its development.

With the rapid development of emerging industries such as the Internet of Things and mobile Internet, smart sensors are becoming more popular. Smart sensors are composed of sensing elements and signal conditioning circuit controllers that have data acquisition, conversion, analysis, and even decision-making functions. Intelligence can improve the accuracy of the sensor, reduce power consumption and volume, and achieve easier networking, thereby expanding the application range of the sensor and making its development more rapid and effective.

With the reduction of the labor force and the rise of labor costs in emerging countries such as China and other Southeast Asian countries, production lines are increasing their reliance on industrial robots for processing or assembly processes. With the development of technology, the environment in which robots and laborers work together will become more common, and safety issues will become more complex.

Industrial automation has been a common trend in global industrial development. With the rapid development of technology and the complexity of product manufacturing, how to optimize the production efficiency of a factory through intelligent management and corresponding equipment supporting to achieve an intelligent factory and flexible manufacturing production is the latest direction in the development of the automation industry.

The world is poised to change forever with the implementation of fifth-generation connectivity for data networks across the world. 5G has been promised to be the savior to any connectivity problems we've had in the past and it's also been highlighted as a path towards a fully wireless future.

The COVID-19 caused a great catastrophe for mankind and suffered heavy losses to the global economy and politics. How to find a model that can sustain economic life and still be able to complete work and life is the biggest challenge of life at this stage. It also urges the industry to more actively move towards the development trend of smart unmanned factories, reduce clustering and contact, introduce unmanned factory technology, and improve production efficiency and control efficiency.

An issue closely related to the smart factory debate concerns the position occupied by industrial production in overall social relationships; in other words, the relationship between factory and society, within which there is a new reflection on the relationship between factories and urban spaces, cities.

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

In recent years, with the development of Industry 4.0, factory automation has become a future trend.

Industrial 4.0 revolution swept through the entire manufacturing industry. Various countries and regions are actively deploying Industry 4.0 and smart manufacturing. How does Taiwan respond? How to combine your own advantages to gain a competitive advantage in this global 4.0 manufacturing revolution? Industrial reform involves not only technology, but also the integration and breakthrough of ideas.

"Link" and "Optimization" are the core spirits of Industry 4.0. To create these two key elements, it requires extensive use of automated production, Internet of Things, intelligent robots, supply chain interconnection, and big data.

Edge computing is a distributed computing architecture that moves applications, data, and services from the central node of the network to the logical edge nodes of the network for processing. Edge computing decomposes large-scale services that were originally processed by the central node into smaller and more manageable parts, and is distributed to the edge nodes for processing.

5G is regarded as an important promoter of Industry 4.0. 5G's high network speed and low power consumption enable each sensor of the future unmanned factory to be connected to the cloud, further extracting data for analysis, and driving artificial intelligence.

Driven by the German government's national policy, Industry 4.0 has become the most high-profile manufacturing issue in the world. Therefore, countries have successively launched corresponding smart manufacturing policies. With the help of 5G, the world is facing an uncompleted and perfect 5G environment to respond to smart manufacturing Yes, and Taiwan still has many opportunities and challenges in 5G smart manufacturing. Taiwan ’s 5G commercialization is imminent, and it is still expected that the government, telecommunications operators, and automation industry will work together to accelerate the full implementation of 5G.

Industrial robots can more quickly and handle large-scale mass production work. So far, nearly half of the industrial robots in the world are used by automobile factories. Let's understand the advantages and disadvantages and applications of industrial robots.

Industrial robots use a large number of sensors to achieve good operation and control in industrial automation production processes. For example, collaborative robots integrate torque sensors and cameras to ensure the best perspective and safety. What sensors are integrated with industrial robots?