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Intelligent Parking System

R. Vedhapriyavadhana, Ignisha Rajathi G, SL Jayalakshmi, R. Girija


Nowadays, the need for vehicle parking is increasing day by day and has turned into an important issue. Car owners and drivers in India are still struggling with fuel waste and time waste and finding when and where we need to park our car which needs a good amount of lighting due to the usage of a manual vehicle parking system. Also, when there is no special system in place, chaos occurs in parking spaces as damage will be incurred to vehicles while cars are going in or out of the parking space. So, a new car parking system has been introduced to tackle these problems. Hence, this research looks into smart parking methods to find and book the proper parking space efficiently

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Z. Bin, J. Dalin, W. Fang, and W. Tingting, A design of parking space detector based on video image, The 9th International Conference on Electronic Measurement &Instruments ICEMI 2009.

K. Ueda, I. Horiba, K. Ikeda, H. Onodera, and S. Ozawa, (1991). An algorithm for detecting parking cars by the use of picture processing (1981), IEICE Trans. Information and Systems.vol.J74-D-I1. IO, pp. 1379-1389.

T. Hasegawa and S. Ozawa, “Counting cars by tracking of moving object in the outdoor parking,” Vehicle Navigation and Information Systems Conference 1994, pp 63-68.

E. Maeda and K. Ishii(1992), “Evaluation of normalized principal component features in object detection,” IEICE Trans. Information and Systems. vol.J75-D-11(3):520-529.

M. Yachida, M. Asada, and S. Tsuji. Automatic Analysis of Moving Image. IEEE Trans. Pattern Anal and Machine Intelligence. vol. PAM1-3(1) pp.12-19, 2022.

Ms .Sayanti Banerjee, Ms. Pallavi Choudekar and Prof. M. K. Muju. “Real time car parking system using image processing,” 2011, IEEE, pp. 99-103.

S. Arora, J. Acharya, A. Verma, Prasanta, and K. Panigrahi. “Multilevel thresholding for image segmentation through a fast statistical recursive algorithm,” Elsevier 2007.Pattern recognition letters 29 (2008).pp. 119-125

L.Wang and J. Bai. Threshold Selection by Clustering Grey Levels of Boundary. Elsevier Science. Pattern recognition letters 24. pp. 1983–1999, 2003.

Thiang, Andre Teguh Guntoro, and Resmana Lim, “Type of vehicle recognition using template matching method,” International conference on Electrical, Electronics, Communication,

Information 2001. March 7-8.

S. Saleh Al-Amri, N. V. Kalyankar, and Khamitkar S, “Image segmentation by using threshold techniques,” Journal of Computing. vol 2, Issue 5, 2010.

Ignisha Rajathi G, Ramesh Kumar R, D. Ravikumar, T. Joel, Seifedine Kadry, Chang-Won Jeong & Yunyoung Nam, “Brain Tumor Diagnosis Using Sparrow Search Algorithm Based Deep Learning Model” Computer Systems Science and Engineering, Vol.44, No.2, 2023, pp.1793-1806.

R. Vedhapriyavadhana, E. F. I. Rani and M. Theepa, "Simulation and Performance Analysis of Security Issue Using Floodlight Controller in Software Defined Network," 2018 International Conference on Emerging Trends and Innovations in Engineering and Technological Research (ICETIETR), 2018, pp. 1-6.

Sagayaraj, M.F., George, I.R., Vedha Priya vadhana, R. et al. Artificial Intelligence to Combat the Sting of the Pandemic on the Psychological Realms of Human Brain. SN COMPUT. SCI. 3, 182 (2022).


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