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@article{193081,
        author = {Pushkar Khamitkar and Omkar Devgirikar and Abhijeet Kothari and Ms. Tanvi Gadgi},
        title = {Smart CCTV Surveillance for Parking Management in College},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {4354-4358},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193081},
        abstract = {This project presents a detailed study and implementation of an AI CCTV Surveillance Monitoring System for College Parking. The objectives of this work are to analyze the requirements of intelligent parking surveillance, design the system architecture, implement the object detection functionalities, and evaluate the performance of the proposed solution. The methodology includes using computer vision techniques and deep learning models to automatically detect vehicles from video footage captured by CCTV cameras. A web-based interface was developed to allow users to upload recorded videos, which are then processed by a backend detection module built using Flask and OpenCV. The system identifies vehicles in each frame and generates a processed video highlighting detections, providing a foundation for future integration of advanced features such as license plate recognition, parking slot monitoring, and anomaly detection},
        keywords = {Artificial Intelligence, CCTV surveillance, Object Detection, Flask, OpenCV, Parking Monitoring System.},
        month = {February},
        }