A Prototype of Parking Space Information System based on Image Processing

Aaron Abel, Suci Aulia, Dadan Nur Ramadhan, Sugondo Hadiyoso

Abstract


An automatic parking system has been proposed to make the car parking process more efficient in terms of time and cost. The absence of information on the position of the parking lot makes the car driver take longer to find it. In multi-story parking lots, officers cannot constantly monitor the available parking conditions directly, so prospective parking users do not know the position of the open parking space. In addition, many parking lots use automatic door latch, but no parking space information display. Parking system automation can be based on hardware, software, or a combination of hardware and software. To the best of our knowledge, no software-based framework is entirely used on this system. Therefore, this study proposes an automatic parking system based on camera sensors and software, which is combined into an information system. The proposed method uses simple morphological operations. Based on the test results, the detection accuracy achieved is 100% with a light intensity of 3 lux, 15 lux, 30 lux, 60 lux, 120 lux, and 250 lux. The average processing time is 1.59 seconds. From this study, it is hoped that this prototype can be tested on relevant environmental conditions so that the prototype can be implemented in parking lots.


Keywords


automatic parking system; information system; camera; morphological

Full Text:

PDF

References


Badan Pusat Statistik, Perkembangan Jumlah Kendaraan Menurut Jenis, 1949-2017, [Online]. Available:https://www.bps.go.id/linkTableDinamis/view/id/1133.

B. A. Prasetyo, A. P. Wahyu, and S. Suhendri, “Optimization of image processing techniques in developing of smart parking system,” J. Inf. Technol., vol. 3, no. 1, pp. 1–4, 2021..

S. Bholane, S. Kotambkar, A. Lakade, K. Mande, and T. Deshmukh, “Parking management system using image processing and distributed approach,” Ijarcce, vol. 6, no. 3, pp. 584–586, 2017.

M. Z. Abidin and R. Pulungan, “A Systematic review of machinevision-based smart parking systems,”Sci. J. Informatics, vol. 7, no. 2, pp. 213–227, 2020.

S. K. S. Raja, U. Kiruthika, R. Jaichandran, V. Balaji, S. Rameshwer, and S. Roheeth, “Smart mall parking management system using image processing,” Eur. J. Mol. Clin. Med., vol. 7, no. 4, pp. 3004–3010, 2020.

P. Tatulea, F. Calin, R. Brad, L. Brâncovean, and M. Greavu, “An image feature-based method for parking lot occupancy,” Futur. Internet, vol. 11, no. 8, pp. 1-17, 2019.

P. Hattale, V. Jangam, S. Khilare, Y. Ratnaparkhi, and P. Kasture, “Parking space detection using side-camera image,” Int. J. Sci. Res., vol. 10, no. 3, pp. 1440–1442, 2021.

H. Al-Kharusi and I. Al-Bahadly, "Intelligent parking management system based on image processing,” World Journal of Engineering and Technology,vol. 2,pp. 55-67, 2014.

R. Yusnita,, F. Norbaya and N. Basharuddin, "Intelligent parking space detection system based on image processing," International Journal of Innovation, Management and Technology, vol. 3. no. 3, pp. 232-235, 2012.

K. Yamada and M. Mizuno, "A Vehicle parking detection method using image segmentation," Electronics and Communications in Japan, Part III: Fundamental Electronic Science, vo. 84, no. 10, pp. 25-34, 2001.

H. G. Jung, D. S. Kim., P. J. Yoon, and J. Kim, "Parking slot markings recognition for automatic parking assist system," in 2006 IEEE Intelligent Vehicles Symposium, 2006, pp. 106-113.

A. Ahad, Z. Khan, and S. A. Ahmad, "Intelligent parking system,"World Journal of Engineering and Technology, vol, no. 02, pp. 160–167, 2016.

M. Alam., D. Moroni, G. Pieri, M. Tampucci., M. Gomes, J. Fonseca, J. Ferreira, and G. R. Leone, "Real-time smart parking systems integration in distributed ITS for smart cities," Journal of Advanced Transportation, 2018, pp. 1–13, 2018.

D. Azshwanth, M. T. Koshy, and T. Balachander, "Automated car parking system," Journal of Physics: Conference Series, vol. 1362, no. 1, pp. 1-9, 2019.

M. Kulkarni and S. S. Hippargi, "Prediction of parking availability by sensor-enabled car parking slots," International Journal of Computer Applications, vol. 181, no. 5, pp. 36–39, 2018.

K. Kaarthik, A. Sridevi, and C. Vivek, “Image processing based intelligent parking system,” in Proceedings - 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering, ICEICE 2017, 2017, vol. 2017, pp. 1–4.

B. Kommey, E. O. Addo, and A. S. Agbemenu, “A Smart image processing-based system for parking space vacancy management,”International Journal of Computer Applications, vol. 182, no. 5, pp. 1–6, 2018.

S. Rajesh and M. G. Sumithra, “Smart parking system using image processing,” International Research Journal of Engineering and Technology, vol. 5, no. 4, pp. 922–924, 2018.

M. Lopez, T. Griffin, K. Ellis, A. Enem, and C. Duhan, “Parking lot occupancy tracking through image processing,” in Proceedings of 34th International Conference on Computers and Their Applications, 2019, pp. 265–258.

M. I. Ashqer and M. Bikdash, “Parking lot space detection based on image processing,” in 2019 SoutheastCon, 2019, pp. 1–6.




DOI: https://doi.org/10.17529/jre.v17i3.21556

Article Metrics

Abstract view : 0 times
PDF - 0 times

Refbacks

  • There are currently no refbacks.


View My Stats

 

Creative Commons License

Jurnal Rekayasa Elektrika (JRE) is published under license of Creative Commons Attribution-ShareAlike 4.0 International License.