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@article{202486,
        author = {Prof. Bhagat P. V. and Khunte Nandini Shivaji and Nazirkar Kajal Mohan and Godage Aniket Dhananjay and Dr. Shah Saloni Niranjan},
        title = {AI Based Person Detection And Alert System In Restricted Area Using RaspberryPI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {7106-7111},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202486},
        abstract = {The AI-Based Person Detection and Alert System is a smart surveillance solution developed using Python on a Raspberry Pi to monitor restricted areas. The system captures real-time video through a camera module and processes it using Python-based libraries for image analysis. A lightweight deep learning model such as MobileNet SSD is implemented using TensorFlow Lite and OpenCV for efficient human detection. The system identifies unauthorized entry by defining a specific region of interest within the monitored area. When a person is detected inside the restricted zone, the system immediately triggers alerts such as sound alarms, email notifications, or mobile messages. Python is used for integrating all components including video processing, detection logic, and alert mechanisms. The system is designed to be cost-effective, energy-efficient, and suitable for continuous monitoring. It reduces the need for manual supervision while improving security and response time. The solution can be further enhanced with features like facial recognition, cloud connectivity, and real-time data logging. Future improvements may include IoT integration and advanced analytics for better accuracy. Overall, the system offers an automated, reliable, and scalable approach to security using Python-based implementation.},
        keywords = {Python, Person Detection, Raspberry Pi, Surveillance System, Artificial Intelligence, OpenCV, TensorFlow Lite.},
        month = {May},
        }