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@article{163944,
        author = {LOKESHWARI D and KALPANA S},
        title = {Smart Industrial Surveillance and Management System: Harnessing Digital Twins for Real-Time Insights and Control},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {243-251},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163944},
        abstract = {In today's industrial landscape, the integration of digital technologies has revolutionized monitoring and control systems. This paper presents a comprehensive overview of a cutting-edge solution: the Digital Twin Based Real-Time Vision System for Industrial Monitoring and Control [1]. By leveraging digital twin technology, combined with real-time vision capabilities, this system offers unparalleled insights into industrial processes and assets. Through the integration of IoT devices and advanced analytics, it enables proactive monitoring, predictive maintenance, and optimized operations. The system empowers stakeholders with remote access and control, fostering agility and responsiveness in industrial environments [2].},
        keywords = {digital twin, real-time vision, industrial monitoring, control system, IoT, predictive maintenance.},
        month = {},
        }