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@article{169297,
        author = {Adwita Gandhi and Raman Gandewar and Prathamesh Ghalsasi and Pranav Godbole and Abhay Gharage and Siddhant Gath and Rutuja Sangade},
        title = {Advanced Parking System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {947-952},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169297},
        abstract = {The project focuses on real-time parking monitoring to combat the rapidly growing congestion problem in crowded towns. The real-time parking monitoring system uses video capture and image processing by the YOLOv5 model through a web camera to successfully determine whether the parking spots are filled or are free. The model analyzes a pre-labeled dataset to make prompt and accurate predictions over video feeds. This solution will save spaces effectively and move the traffic fluidly to ensure a good experience while parking. This can be further extended in the future for working in parallel with other smart city technologies, to efficiently manage the flow of traffic and parking.},
        keywords = {Parking optimization, smart systems, Opencv, urban mobility, Yolov5, data-driven parking management},
        month = {November},
        }