Artificial intelligence illuminates the evolution of IoT and promotes three key application areas.

Industry 4.0 is well underway and already having a big impact on manufacturing throughout the world. Technologies such as IIoT, big data and analytics, digital twin/thread, and the smart connected factory and supply chain are all elements of Industry 4.0 that are becoming ubiquitous in almost every manufacturing company.

After "Cloud Computing", a new term "Fog Computing" has been added in recent years. It mainly comes from the phrase "fog is a cloud closer to the ground".

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.

The Metaverse is a new third wave of industry trends that will become more and more important over the next 10 to 20 years. At the singularity moment of the metaverse, the point in time at which technological growth becomes uncontrollable and irreversible, digital assets will be more valuable than physical assets.

Industry 4.0 has become an increasingly important topic of concern. Within Industry 4.0, the Internet of Things (IoT) plays an important core role in connecting the entire system, and has developed a wide range of applications. Many people may think that the IoT is far away and does not concern them, but in fact, there are many applications of the IoT in use in everyday life which most people may not realize. This article will share what the IoT is and its application in life.

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.

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.

How can AI and IoT technologies assist pedestrians, traffic units, and police units to help smooth, convenient, and safe traffic?

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.

Tiny AI integrates low-power, small-volume NPU, and MCU adapts to various mainstream 3D sensors in the market. And supports three mainstream 3D sensing technologies such as structured light, ToF, and binocular stereo vision, to meet the needs of voice, image, and so on to identify needs.

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

With increasing industrial automation worldwide, CNC rotary tables equipped with 4- and 5-axis capabilities have seen substantial adoption—particularly in applications requiring high precision and heavy load handling. These “smart turntables” enhance tool efficiency, machining accuracy, and production rhythm. According to Verified Market Reports, the global CNC rotary table market was valued at US $1.5 billion in 2024, projected to reach US $2.8 billion by 2033 at a 7.5% CAGR.

As smart building, IoT, and cloud technologies advance rapidly, the demand for remote control and multi‑device integrated management across industries has surged. Any environment with multiple integrated devices needs a stable, secure, and efficient system that allows centralized monitoring and control—ensuring real‑time transmission of information and video. However, traditional single-point management struggles with large-scale, geographically dispersed deployments. In this context, KVM technology combined with AV integration solutions has emerged as a critical tool in the smart era.

When traditional manufacturing equipment transforms from cold mechanical tools into “real-time smart devices,” Edge AI is quietly sparking an industrial revolution. Without relying on distant cloud computing, this breakthrough technology enables machines to instantly detect anomalies and respond in real time, greatly boosting factory operation speed while achieving unprecedented stability and safety. As the global market experiences explosive growth, leading companies in Europe and the US are racing to enter the field, with Edge AI accelerating the manufacturing industry toward a new era of “smart real-time” operations!

In an era where the long-standing "efficiency-first" mindset in global manufacturing is gradually reaching its end, supply chain resilience has become an essential condition for the new normal. The COVID-19 pandemic and geopolitical turbulence have highlighted the risks of lean supply chains, which struggle to recover quickly when disrupted. In response, major enterprises are shifting towards nearshoring, supply diversification, and early-warning-based adjustment strategies. Against this backdrop, "seemingly inconspicuous" small and medium-sized components, such as bearing sleeves, are making a comeback. Their functions in stabilizing mechanical operations and extending service life are proving to be key supports in healing the fragile structures of supply chains.