i-manager Publications

Navigation of Empty Parking Slots using Image Processing

Srujan Panthula*, Yaramala John Wesley**, Alle Saiteja Wesley***, Sudha Mishra****, Agnivesh Pandey*****

*-***** Department of Information Technology, School of Engineering & Technology, Guru Ghasidas Vishwavidyalaya (Central University), Bilaspur, India.

Periodicity:January - June'2023
DOI : https://doi.org/10.26634/jpr.10.1.19328

Abstract

Navigation of empty parking slots has been proposed to solve the major problem of traffic congestion at parking places, such as malls and theatres. In other words, it can also reduce time consumption and costs. When there is no information about free parking slots, drivers face the issue of spending time to find a suitable parking spot. In multi-story buildings or malls, it is even more difficult to find an available parking. To solve this issue, the navigation of empty parking slots is used. In many parking areas, there is only an automated entrance to enter the vehicle into the parking area, but there is no software that can display live video to consumers to show whether there is an available space. Additionally, there is no website or application that can show live footage of the parking area, indicating whether it is empty or occupied. In this research live information is displayed before drivers enter the parking area. With the help of the display and website, drivers can save a significant amount of time finding an empty parking slot to park their vehicle. The system is based on camera sensors and software, where image processing is used to process the image.

Keywords

Sensor, Parking, Slot, Open CV, Image Processing.

How to Cite this Article?

Panthula, S., Wesley, Y. J., Wesley, A. S., Mishra, S., and Pandey, A. (2023). Navigation of Empty Parking Slots using Image Processing. i-manager’s Journal on Pattern Recognition, 10(1), 16-24. https://doi.org/10.26634/jpr.10.1.19328

References

[1]. Abel, A., Aulia, S., Ramadhan, D. N., & Hadiyoso, S. (2021). A prototype of parking space information system based on image processing. Jurnal Rekayasa Elektrika, 17(3), 185-190.

[2]. Alsafery, W., Alturki, B., Reiff-Marganiec, S., & Jambi, K. (2018, April). Smart car parking system solution for the internet of things in smart cities. In 2018 1st International Conference on Computer Applications & Information Security (ICCAIS) (pp. 1-5). IEEE.

[3]. Farooqi, N., Alshehri, S., Nollily, S., Najmi, L., Alqurashi, G., & Alrashedi, A. (2019, November). UParking: Developing a smart parking management system using the internet of things. In 2019 Sixth HCT Information Technology Trends (ITT) (pp. 214-218). IEEE.

[4]. Gupta, R., Budhiraja, N., Mago, S., & Mathur, S. (2020). An IoT-based smart parking framework for smart cities. In Data Management, Analytics and Innovation: Proceedings of ICDMAI 2020, 1, 19-32. Springer Singapore.

[5]. Jeffrey, J., Patil, R. G., Narahari, S. K. K., Didagi, Y., Bapat, J., & Das, D. (2012, August). Smart parking system using wireless sensor networks. In The Sixth International Conference on Sensor Technologies and Applications (pp. 306-311).

[6]. Kaarthik, K., Sridevi, A., & Vivek, C. (2017, April). Image processing based intelligent parking system. In 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE) (pp. 1-4). IEEE.

[7]. Pham, T. N., Tsai, M. F., Nguyen, D. B., Dow, C. R., & Deng, D. J. (2015). A cloud-based smart-parking system based on Internet-of-Things technologies. IEEE Access, 3, 1581-1591.

[8]. Rane, S., Dubey, A., & Parida, T. (2017, July). Design of IoT based intelligent parking system using image processing algorithms. In 2017 International Conference on Computing Methodologies and Communication (ICCMC) (pp. 1049-1053). IEEE.

[9]. Suhr, J. K., & Jung, H. G. (2016). Automatic parking space detection and tracking for underground and indoor environments. IEEE Transactions on Industrial Electronics, 63(9), 5687-5698.

[10]. Thangam, E. C., Mohan, M., Ganesh, J., Sukesh, C. V., & Prof, A. (2018). Internet of Things (IoT) based smart parking reservation system using raspberry-pi. International Journal of Applied Engineering Research, 13(8), 5759-5765.

[11]. Yusnita, R., Norbaya, F., & Basharuddin, N. (2012). Intelligent parking space detection system based on image processing. International Journal of Innovation, Management and Technology, 3(3), 232-235.

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Navigation of Empty Parking Slots using Image Processing

Abstract

Keywords

How to Cite this Article?

References

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