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@article{179015,
        author = {Ch. Mani Sai and Ch. Sai Kumar and C. Avinash and A. Theja},
        title = {Smart campuss infrastructure using raspberry pi},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5076-5080},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179015},
        abstract = {The "Smart Sensors and Smart Attendance System using Raspberry Pi" integrates multiple sensors for both attendance tracking and environmental monitoring. The system is divided into two main modules: the first focuses on student attendance management, and the second monitors environmental parameters such as temperature, light intensity, fire detection, and sound levels. The system automatically uploads data, such as attendance records and sensor parameters, to a centralized website. The smart sensors are capable of controlling devices such as fans, lamps, and buzzers based on environmental conditions. For instance, the fan is activated when the temperature exceeds a certain threshold, the lamp is turned on when light intensity is low, and the buzzer is triggered when fire or sound is detected. This project aims to automate both attendance management and environmental control, providing a robust and efficient system for educational institutions and smart environments.},
        keywords = {},
        month = {May},
        }