Smart Parking Application Using Deep Learning Framework

R. Senthil Kumar¹ , B. Surya²

Section:Research Paper, Product Type: Journal
Vol.8 , Issue.4 , pp.1-5, Aug-2020

Online published on Aug 31, 2020

Copyright © R. Senthil Kumar, B. Surya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Smart parking application is comprised by using Python and Deep Learning Frameworks (DLF). It provides an efficient way of improving the monitoring systems and make use of the data provided by them. By using this system, it is possible to reduce the vital information loss by the operator handling and thus reduce the human processed systems. Images are monitor through the monitoring systems and image processing technique, the data is handled by the Artificial Intelligence (AI) system and then a deciding is generated. This generated Deciding is passed with an image and vehicle information to proper personnel. Now a days, Deep Learning (DL) and AI systems are deployed for automating human handled process using AI and Hardware Integration. The Systems are able to make decisions in various environments and conditions above all affecting factors similar to intelligence expressed by human beings. The decisions made by the systems using deep learning and artificial intelligence methods can even make decisions superior to human intelligence. Integrating the methods of image processing and AI to automate the manned systems in the manner of scaling for any automated systems helps in removing the third-party operators from the control of informant and action. Our proposed idea was reduces the duration of information gathering and deciding of the operator to the information provided and increases the chance of positive results in terms of machine automated results.

Key-Words / Index Term :
Deep Learning (DL), Artificial Intelligence (AI), TensorFlow, Performance

References :
[1] Jonathan Barker and Sabih Rehman ,?Investigating the use of Machine Learning for Smart Parking Applications?, 11th International Conference on Knowledge and Systems Engineering (KSE), IEEE,ISSN: 2164-2508, 2019 .
[2] Jaspreet Kaur ,?International Journal of Scientific Development and Research?, Volume 4, Issue 8, ISSN: 2455-2631,pp-284-290, 2019.
[3], MuhammadAdnan ,KhancSagheerAbbasal, ?Smart occupancy detection for road traffic parking using deep extreme learning machine?, Journal of King Saud University - Computer and Information Sciences, 6th February 2020
[4]Khaoula Hassoune , Wafaa Dachry , Fouad Moutaouakkil, Hicham Medromi, ?Smart Parking Systems: A Survey?, 11th International Conference on Intelligent Systems: Theories and Applications (SITA), 2016.
[5] Faheem1, S.A. Mahmud1, G.M. Khan1, M. Rahman1, H. Zafar2, ?A Survey of Intelligent Car Parking System?, Vol. 11. Issue 5, pages 714-726 , 2013.
[6] Faiz Shaikh , Nikhilkumar B.S, Omkar Kulkarni , Pratik Jadhav ,Saideep Bandarkar Hadapsar, ?International Journal of Innovative Research in Science, Engineering and Technology (IJRSET)? Vol. 4, Issue 10, 2015.
[7] Noor HazrinHanyMohamadHanif, Mohd Hafiz Badiozaman, HanitaDaud, ?Smart parking reservation system using short message services (SMS)? , IEEE, 2009
[8] Shruti Admane, Saurabh Kalmegh, Amit Bhende, Prof. Nutan Dhande, ?International Journal For Engineering Applications and Technology?, Issue12 vol 3ISSN: 2321-8134, pp-66-69, 2018