As digital transformation of global enterprises develops rapidly, AIoT (Artificial Intelligence Internet of Things) has become a new key element in modern enterprise and urban construction. AIoT combines AI's "intelligent analysis" with IoT's "interconnection of everything" to promote diversified applications such as smart office, smart city, and industrial automation.

AIoT (Artificial Intelligence of Things) is a new generation of applications that deeply integrates AI (artificial intelligence) and IoT (Internet of Things). AIoT technology also covers core elements such as big data analysis, edge computing, cloud platform, sensor technology and high-speed wireless network.

Among various AIoT technology hardware and software, embedded systems and sensors are the basis for data collection and real-time response. AI is then responsible for data analysis, prediction and automatic decision-making to form AIoT networking. Edge computing technology allows data to be processed locally in real time, reducing latency and improving data security. With the popularization of new-generation network technologies such as 5G and Wi-Fi 6, AIoT devices can achieve faster, lower latency and more reliable data transmission, promoting the implementation of more innovative application scenarios.

With the advancement of AI and edge computing technology, embedded systems can process data collected by sensors directly at the data source, achieving real-time analysis and intelligent response. For example, smart conference rooms use AIoT to achieve automatic sensing and environmental adjustment (lighting and temperature, etc.), and can also detect people entering and exiting, sound changes, and automatically adjust the meeting mode to improve meeting efficiency; combining AI with real-time data analysis to optimize human resource management and improve data security and computing efficiency. The above two can also integrate systems such as enterprise resource planning (ERP) to provide corporate operational efficiency through synergy, all thanks to the application of AIoT technology to achieve data-driven automated decision-making and remote monitoring, improving operational efficiency and safety levels.