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@article{164258,
        author = {Pranjal Yadav and Suvarna Aranjo and Thanga Selva Perumal and Tania Mondal},
        title = {Patrolling System for Institution},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {272-275},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164258},
        abstract = {A transformative security paradigm, strengthened by Internet of Things (IoT) sensors, artificial intelligence (AI), and a vast dataset, has emerged because of the integration of cutting-edge technologies in an era characterized by increasing security challenges. This cutting-edge system is painstakingly built to detect trespassers and undesired activity as well as to handle data from a variety of sensors in an intelligent manner. By integrating facial recognition software, temperature sensors, and other sensors, the patrolling robot is transformed into an intelligent sentinel with advanced threat detection capabilities. A vast dataset combined with AI algorithms enables the system to change and grow, moving from reactive to proactive security measures. Response times are improved overall because real-time communication capabilities guarantee the timely delivery of important information to the appropriate persons. With its versatility, accuracy, and instantaneous response, this abstract offers an overview of the multidimensional strategy of a patrolling robot that makes use of IoT and AI technologies, revolutionizing the field of institutional security.},
        keywords = {Automation, Emergency Protocols, Audits, Adaptability, Technology Integration, Surveillance, Patrolling System, and Mobile Applications.},
        month = {},
        }