Authors : Hemant Pandurang Chaudhari; Divya Ravindra Walke; Hardik Pramod Kataria

Volume/Issue : Volume 10 - 2025, Issue 4 - April

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DOI : https://doi.org/10.38124/ijisrt/25apr1872

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Abstract : In view of industrial monitoring and automation, advances made recently, and key academic papers and regulatory developments, are reviewed. Emerging technologies like IoT, augmented reality, and AI are changing the landscape of smart factories, which are increasingly becoming an enabler for operational efficiency, predictive maintenance, and real-time decision-making. The proposed system architecture comprises the placement of IoT-connected sensors strategically to collect real-time data on temperature, pressure, machine status, and energy consumption. With an AI algorithm, the data is analyzed to help detect anomalies, predict impending equipment failure, and optimize resources use. Augmented reality takes this arrangement a step further by providing an interactive layer that allows operators to see equipment conditions and factory processes through smart glasses or mobile devices. This immersive approach puts the operator in a better position to be aware and make more informed decisions faster. This system is expected to minimize production downtimes, streamline maintenance, and enhance visibility into industrial processes by combining AI-driven analytics with real-time sensor data and user-friendly augmented reality interfaces. However, the realization requires overcoming several hurdles: data security issues, integration with legacy systems, and high initial investment in AR and AI technologies. The article describes the technological foundations, implementation challenges, and contributions of the integrated technologies toward Industry 4.0, aiming to establish a productive, adaptive, and resilient manufacturing ecosystem.

Keywords : Augmented Reality (AR), Artificial Intelligence (AI), Automation, and Internet of things.

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