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.

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.

The Smart Machinery Cloud Platform intends to standardize terminal software and hardware, application tools, and operation platforms to assist enterprises in their digital transformation.

The Internet of Things (IoT) is driven by the M2M (Machine-to-Machine) paradigm, which provides the ability to connect anytime, anywhere among many smart devices. Wireless communication makes M2M communication much easier, it has more applications.

With the rise of the Internet of Things (IoT), the M2M (Machine to Machine) module technology has gradually received attention. M2M refers to the exchange and transmission of information between machines, and the concept of information sharing is achieved through the transmission and connection of network and machine equipment communication.

IoT is the current mainstream trend in technology. In this way, we will discuss the industrial changes and market opportunities of the digital revolution, and will further analyze the technology and application fields of IoT.

The vision of the Internet of Things is to make everyone's life better, safer, and more convenient. To achieve this goal, we must first increase the speed of data processing, generate real-time intelligence, and allow IoT data to make informed decisions in seconds.

Utilize industrial augmented reality technology and virtual reality to further improve employee productivity, efficiency, and customer satisfaction through real-time step-by-step work instructions.

Data science is a complex process of extracting, integrating, and analyzing data, combining knowledge from computer science, mathematics, statistics, and related fields to help companies understand their customers, understand industry competition, and make relative decision-making.

In the new normal of future changes, whether it is the ICT industry, the supply chain, or even the industrial ecosystem, it is necessary to think about how to improve resilience to respond to environmental changes from a mid-to-long-term perspective. It will be important to improve the resilience of the supply chain from procurement to production. The key to future competitiveness.

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

The IoT is becoming fragmented, and the market demand for customized measurement is increasing. Under the four conditions of product size and shape, high computing, networking capabilities, and sensor interface integration, measurement and IoT vendors will customize design, so this article will focus on a key application of customized measurement: smart sensor.

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.

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.

Today, the Internet of Things is still a hot topic in many industries. Emphasizing the benefits of adopting this technology, Fortune Business Insights estimates that by 2026, the global Internet of Things market will reach 1102.6 billion US dollars.

In the field of manufacturing and supply chain, the technical assistance of Industry 4.0 and 5G and AI, combined with blockchain, can promote the new development of manufacturing and achieve more effective integration of hardware, software and services.

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.