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@article{173918,
        author = {Prajwal KS and Ganga RM and Thanushree BA and Ramya kulkarni and Madhu HM},
        title = {Smart park monitoring system with automated street lighting and Detection of suspicious activity},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2135-2139},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173918},
        abstract = {The Smart Park Monitoring System integrates advanced technologies to enhance the safety, efficiency, and sustainability of public parks. This system leverages automated street lighting and suspicious activity detection through a network of sensors, cameras, and IOT devices to provide real- time monitoring and adaptive responses to environmental and security conditions. The detection of suspicious activities is achieved using a combination of video surveillance, motion detection algorithms, and machine learning models. Cameras installed at strategic locations capture real-time footage, which is analysed using AI-based software to identify unusual behaviour patterns, such as loitering, unauthorized access, or aggressive movements. The system is capable of distinguishing between normal park activities and potential threats, minimizing false alarms. When suspicious activity is detected, the system sends instant alerts to park authorities or law enforcement, enabling rapid response to potential security breaches.},
        keywords = {Car parking, Sensor, Time saving, LED},
        month = {March},
        }