AI and the Internet of Things (IoT) technologies have now transformed a wide-variety of old sensing systems into intelligent albeit smart sensor networks. Es Scholars Unlike traditional sensors which simply grind and spew out data, intelligent sensors with AI can carry on local computation, recognize patterns in real time, will detect anomalies, and can predict what will happen next. This article is a comprehensive study into smart sensor analyses using AI. It details system architectures, algorithms, methods, design strategies, performance measurements, and real-world applications. The framework being proposed integrates machine learning models with edge and cloud computing infrastructures so as to enhance efficiency, accuracy, and autonomy .Further more Also this paper discusses those issues arising in the process of implementation, experimental considerations and future research directions such as Tiny ML and federated learning, Medical care, industry, agriculture, smart cities - it is these niche areas that AI-driven smart sensors bring next-generation intelligent systems into as so distinguished from modern technology.
Smart Sensors, Artificial Intelligence (AI), Internet of Things (IoT), Edge Computing, Cloud Computing, Machine Learning, Real-Time Data Analysis, Anomaly Detection, Predictive Analytics, Intelligent Sensor Networks
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