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@article{182833,
        author = {Shubha Arya},
        title = {AUTOMATED MONITORING SYSTEM WITH REAL-TIME VISUAL CAPTURE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {3850-3852},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182833},
        abstract = {This paper presents an automated noise detection system which has been designed for classroom settings. It monitors the sound level in an ambient environment, using a microphone and notifies the user when noise exceeds a certain threshold. On detecting excessive noise, the system records the time and noise level in dB in a CSV file and captures an image using the web camera attached to the system. I have created it using Python using libraries like sounddevice, numpy, tkinter, and OpenCV. This application provides a simple yet effective solution for maintaining discipline in the classroom environments and can be extended to other no noise zones like libraries and offices.},
        keywords = {OpenCV, Computer Vision, Class room Management, Real-time monitoring, Noise detection, tkinter GUI.},
        month = {July},
        }