Abstract
The growing demand for urban parking has led to significant challenges, particularly with conventional centralized smart parking systems that often face single points of failure, limited scalability, and complex deployment processes. Existing solutions are inadequate in addressing these issues, prompting the need for a more resilient approach. This research presents a distributed, cost-effective, innovative parking system to overcome these limitations. The proposed system features a network of nodes strategically deployed across parking lots and interconnected through wireless LAN (Local Area Network), enabling real-time data access through a cloud-based website and back-end server. By utilizing low-power cameras for object detection, the system enhances operational efficiency and accuracy while minimizing costs. Additionally, the Google Maps API (Application Programming Interface) integration provides a user-friendly interface, facilitating easy navigation to available parking spaces. This solution explicitly targets the unique parking challenges in India, demonstrating promising applications for parallel parking scenarios.
References
- Hadi, Raad Ahmed, Loay Edwar George, and Zainab Jawad Ahmed. "Computer Vision-based Approaches, Datasets, and Applications of Smart Parking Systems: A Review." Iraqi Journal of Science (2024): 979-1000.
- Liu, Yuan, Xiangju Liu, Shuaimao Wang, and Rongqiang Tian. "Research on parking guidance system based on computer vision." In Journal of Physics: Conference Series, vol. 2425, no. 1, IOP Publishing, 2023. 012054.
- Banerjee, Sayani, T. S. Ashwin, and Ram Mohana Reddy Guddeti. "Automated parking system in smart campus using computer vision technique." In TENCON 2019-2019 IEEE Region 10 Conference (TENCON)Kochi, India, IEEE, 2019. 931-935.
- Dixit, Madhur, C. Srimathi, Robin Doss, Seng Loke, and M. A. Saleemdurai. "Smart parking with computer vision and IoT technology." In 2020 43rd International Conference on Telecommunications and Signal Processing (TSP)Milan, Italy. IEEE, 2020. 170-174.
- Polprasert, Chantri, Chaiyaboon Sruayiam, Prathan Pisawongprakan, and Sirapob Teravetchakarn. "A camera-based smart parking system employing low-complexity deep learning for outdoor environments." In 2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE), Bangkok, Thailand pp. 1-5. IEEE, 2019.
- Nithya, R., V. Priya, C. Sathiya Kumar, J. Dheeba, and K. Chandraprabha. "A smart parking system: an IoT based computer vision approach for free parking spot detection using faster R-CNN with YOLOv3 method." Wireless Personal Communications 125, no. 4 (2022): 3205-3225.
- Lookmuang, Rachapol, Krit Nambut, and Sasiporn Usanavasin. "Smart parking using IoT technology." In 2018 5th International Conference on Business and Industrial research (ICBIR), Bangkok, Thailand. IEEE, 2018.1-6.
- Jashwanth Dasari , Shivani Vodnala , Swapna Enugala“Smart Parking System using Python and OpenCV,” International Journal for Research in Applied Science and Engineering Technology , 2023. 1976-1985
- Bachtiar, Mochamad Mobed, Adnan Rachmat Anom Besari, and Atikah Putri Lestari. "Parking management by means of computer vision." In 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE),Surabaya, Indonesia IEEE, 2020. 1-6.
- Hu, Lin, and Zhiping Liu. "Intelligent Parking lot Assistance System Based on Machine Vision and A⁎ Algorithm." In 2021 3rd International Symposium on Smart and Healthy Cities (ISHC),Toronto, ON, Canada. IEEE, 2021. 28-35.
- Bura, Harshitha, Nathan Lin, Naveen Kumar, Sangram Malekar, Sushma Nagaraj, and Kaikai Liu. "An edge based smart parking solution using camera networks and deep learning." In 2018 IEEE international conference on cognitive computing (ICCC),San Francisco, CA, USA. IEEE, 2018. 17-24.
- Prabagar, Ajanthwin, N. Sri Madhavaraja, S. Arunmozhi, and K. Suresh Manic. "Artificial Vision Based Smart Urban Parking System." In 2021 International Conference on System, Computation, Automation and Networking (ICSCAN),Puducherry, India. IEEE, 2021. 1-4.
- Al-Absi, Hamada RH, Justin Dinesh Daniel Devaraj, Patrick Sebastian, and Yap Vooi Voon. "Vision-based automated parking system." In 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), Kuala Lumpur, Malaysia. IEEE, 2010. 757-760.
- Budihală, Bogdan, Todor Ivașcu, and Sebastian Ștefănigă. "Motorage-Computer vision-based self-sufficient smart parking system." In 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC),Linz, Austria. IEEE, 2022. 250-257
- Sieck, Noah, Cameron Calpin, and Mohammad Almalag. "Machine vision smart parking using internet of things (IoTs) in a smart university." In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops),Austin, TX, USA. IEEE, 2020. 1-6.
- Zhang, Wenjin, Jason Yan, and Cui Yu. "Smart parking system based on convolutional neural network models." In 2019 6th International Conference on Information Science and Control Engineering (ICISCE),Shanghai, China. IEEE, 2019. 561-566.
- Kiruthika, S., P. Sakthi, K. Raam, G. Sanjay, and M. Mohamed Rafi. "Vision Based Smart Parking System." Turkish Journal of Physiotherapy And Rehabilitation 32 (2021).
- Elomiya, Akram, Jiří Křupka, and Stefan Jovčić. "A Smart Parking System Using Surveillance Cameras and Fuzzy Logic: A Case Study at Pardubice University's Campus." Procedia Computer Science 225 (2023): 4881-4890.
- Archana, M., S. Shanmuga Raju, D. Preethi, S. K. Mydhili, and U. Vinothkumar. "Smart Automated Parking System using IoT." In 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India. IEEE, 2023. 1580-1585.
- Izudheen, Sminu, P. V. Gokul, Jesbin Joseph, Karthik S. Nair, and Manu Krishnan NS. "IoT based smart parking system." In 2023 International Conference on Control, Communication and Computing (ICCC), Thiruvananthapuram, India. IEEE, 2023.1-6.
- https://rmi.nitt.edu/project/26
