Intelligentization is an inevitable trend in the evolution of sensor technology. As the cornerstone of modern information systems, sensors play a crucial role in collecting, transmitting, and processing data. The three fundamental pillars of modern information technology are information acquisition (sensor technology), information transmission (communication technology), and information processing (computer technology). Among these, sensors serve as the frontline of technological advancement.
Over the past century, sensor development has evolved through three major stages: first, traditional discrete sensors that included basic sensing elements; second, analog integrated sensors that improved performance and reliability; and third, smart sensors that incorporate advanced processing capabilities. Today, the global sensor industry is shifting from analog to digital, and from integration to intelligent and networked systems.
This transformation is driven by the increasing demand for real-time data analysis, automation, and connectivity in industries such as healthcare, automotive, and smart cities. Smart sensors not only collect data but also process it locally, reducing the need for constant communication with central systems. This makes them more efficient, reliable, and adaptable to complex environments.
As we move forward, the integration of artificial intelligence and machine learning into sensor systems will further enhance their capabilities, enabling predictive maintenance, autonomous decision-making, and more accurate environmental monitoring. In this context, intelligent sensors are no longer just tools for data collection—they are becoming key enablers of the digital revolution.
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