VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR
Abstract & Details
Research Area
IoT, Embedded Systems
Keywords
Internet of things
RFID
Smart parking system
IR sensors.
Abstract
The basic objective of this project is to create a smart parking system, which is much needed to save money, time, and even environment. This work aims at developing an IOT based smart parking system in a metropolitan city, which automatically finds the nearest available parking slot. This smart parking feature enables a user in finding a parking location and a free slot in that parking space inside a city or outside of shopping malls. This project focuses on reducing time wasted on finding parking space nearby and ongoing through the filled parking slots. This in turn reduces the fuel consumption and standard of living. This system can also, be used to recognize a user entry and exit and it will be uploaded to cloud server. This system uses RFID Reader, it which identifies the vehicle number when it is there at parking slot and again it will send vehicle number when it is leaving.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dr.R.Ravindraiah | Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh India. |
| 2 | T Yogesh | Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh India. |
| 3 | Nuvvuru Swarupa | Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh India. |
| 4 | Shyavati Vijay Kumar Reddy | Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh India. |
| 5 | R Syedh Afridh | Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh India. |
| 6 | Kondapuram Manjula | Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh India. |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Dr.R.Ravindraiah, Yogesh, T, Swarupa, Nuvvuru, Reddy, Shyavati Vijay Kumar, Afridh, R Syedh, & Manjula, Kondapuram (2023). VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 1111-1117.
MLA Style
Dr.R.Ravindraiah, et al. "VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 1111-1117.
IEEE Style
Dr.R.Ravindraiah, T Yogesh, Nuvvuru Swarupa, Shyavati Vijay Kumar Reddy, R Syedh Afridh, and Kondapuram Manjula, "VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 1111-1117, 2023.
Vancouver Style
Dr.R.Ravindraiah, Yogesh T, Swarupa Nuvvuru, Reddy Shyavati Vijay Kumar, Afridh R Syedh, Manjula Kondapuram. VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):1111-1117.
Harvard Style
Dr.R.Ravindraiah, Yogesh, T, Swarupa, Nuvvuru, Reddy, Shyavati Vijay Kumar, Afridh, R Syedh, & Manjula, Kondapuram (2023) 'VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 1111-1117.
Chicago Style
Dr.R.Ravindraiah, et al. "VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1111-1117.
Turabian Style
Dr.R.Ravindraiah, et al. "VISION BASED PARKING OCCUPATION DETECTION USING EMBEDDED AI PROCESSOR." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 1111-1117.
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