Edge AI in IoT: Enhancing Real-Time Processing in Connected Devices

Abstract

The integration of Edge Artificial Intelligence (AI) with the Internet of Things (IoT) is revolutionizing the landscape of real-time data processing in connected devices. This paper explores how Edge AI facilitates localized data analysis, reducing latency and bandwidth usage while enhancing the responsiveness and efficiency of IoT systems. By processing data closer to the source, Edge AI minimizes the need for extensive cloud resources, enabling faster decision-making and improved privacy and security. We examine various applications across industries, including smart homes, healthcare, and industrial automation, illustrating how Edge AI empowers devices to operate autonomously and intelligently. Additionally, we discuss the challenges and future directions of deploying Edge AI in IoT ecosystems, highlighting the need for robust frameworks that ensure seamless integration and scalability. This research underscores the pivotal role of Edge AI in driving innovation and transforming the potential of IoT, paving the way for smarter, more connected environments.