Sistem Pemetaan Parkir Menggunakan Teknik Image Processing

  • Nico Fransisco Utomo Politeknik Negeri Batam, Batam, Indonesia
  • B Budiana Politeknik Negeri Batam, Batam, Indonesia
  • Adlian Jefiza Politeknik Negeri Batam, Batam, Indonesia
  • Fitriyanti Nakul Politeknik Negeri Batam, Batam, Indonesia
DOI: https://doi.org/10.30871/jaee.v7i1.5454
Keywords: Blynk, image processing, MySQL, Parking system

Abstract

The large number of people who use private vehicles has an impact on increasing people's need for parking areas, including in residential apartments. Limitations to getting information on the availability of parking slots result in difficulties for drivers finding available parking locations.  This study aims to develop an effective parking slot mapping system for apartment managers and users using the configuration of image processing and MySQL servers. System design works to process vehicle plates recognized on camera using segmentation and analysis image processing. Data processing uses a visual studio tool as an interface that is connected to MySQL as a database server and activates the visualization of slots and parking locations through the Blynk apps. The results show that the system can read detected vehicle plates and send notifications to Blynk apps to inform the slot status and available parking locations. System testing was carried out for any variations of distance and camera angle positions to determine the standard parameters for a good operating system

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Author Biography

Fitriyanti Nakul, Politeknik Negeri Batam, Batam, Indonesia

Anggota Persatuan Insinyur Indonesia (PII), Indonesia

References

A. Fahim, M. Hasan, and M. A. Chowdhury, “Smart parking systems: comprehensive review based on various aspects,” Heliyon, vol. 7, no. 5, p. e07050, 2021, doi: https://doi.org/10.1016/j.heliyon.2021.e07050.

D. Ashok, A. Tiwari, and V. Jirge, “Smart Parking System using IoT Technology,” in 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), 2020, pp. 1–7. doi: 10.1109/ic-ETITE47903.2020.457.

G. Ali et al., “IoT Based Smart Parking System Using Deep Long Short Memory Network,” Electronics, vol. 9, no. 10, 2020, doi: 10.3390/electronics9101696.

M. M. Abdellatif, N. H. Elshabasy, A. E. Elashmawy, and M. AbdelRaheem, “A low cost IoT-based Arabic license plate recognition model for smart parking systems,” Ain Shams Eng. J., vol. 14, no. 6, p. 102178, 2023, doi: https://doi.org/10.1016/j.asej.2023.102178.

M. Venkata Sudhakar, A. V Anoora Reddy, K. Mounika, M. V Sai Kumar, and T. Bharani, “Development of smart parking management system,” Mater. Today Proc., vol. 80, pp. 2794–2798, 2023, doi: https://doi.org/10.1016/j.matpr.2021.07.040.

A. Camero, J. Toutouh, D. H. Stolfi, and E. Alba, “Evolutionary Deep Learning for Car Park Occupancy Prediction in Smart Cities,” in Learning and Intelligent Optimization, R. Battiti, M. Brunato, I. Kotsireas, and P. M. Pardalos, Eds., Cham: Springer International Publishing, 2019, pp. 386–401.

S. Yang, W. Ma, X. Pi, and S. Qian, “A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources,” Transp. Res. Part C Emerg. Technol., vol. 107, pp. 248–265, 2019, doi: https://doi.org/10.1016/j.trc.2019.08.010.

S. Nayak, R. Renganathan, A. Nair, L. R. Saritha, and L. Ladge, “Smart Car Parking System using Wireless Sensor Networks,” in 2020 Fourth International Conference on Inventive Systems and Control (ICISC), 2020, pp. 220–224. doi: 10.1109/ICISC47916.2020.9171154.

F. Mohammadi, G.-A. Nazri, and M. Saif, “A Real-Time Cloud-Based Intelligent Car Parking System for Smart Cities,” in 2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP), 2019, pp. 235–240. doi: 10.1109/ICICSP48821.2019.8958543.

G. Manjula, G. Govinda Rajulu, R. Anand, and J. T. Thirukrishna, “Implementation of Smart Parking Application Using IoT and Machine Learning Algorithms,” in Computer Networks and Inventive Communication Technologies, S. Smys, R. Bestak, R. Palanisamy, and I. Kotuliak, Eds., Singapore: Springer Singapore, 2022, pp. 247–257.

S. C. Koumetio Tekouabou, E. A. Abdellaoui Alaoui, W. Cherif, and H. Silkan, “Improving parking availability prediction in smart cities with IoT and ensemble-based model,” J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 3, pp. 687–697, 2022, doi: https://doi.org/10.1016/j.jksuci.2020.01.008.

Kaarthik.K, Sridevi.A and Vivek.C, “Image processing based intelligent parking system,” Int. Conf. Electr. Instrum. Commun. Eng., 2017, doi: 10.1109/ICEICE.2017.8191876.

W. S. Chowdhury and A. R. K. Jia Uddin, “Vehicle License Plate Detection Using Image Segmentation and Morphological Image Processing,” Int. Symp. Signal Process. Intell. Recognit., 2018, doi: DOI:10.1007/978-3-319-67934-1_13.

D. Islam, T. Mahmud, and T. Chowdhury, “An efficient automated vehicle license plate recognition system under image processing,” Indones. J. Electr. Eng. Comput. Sci., vol. 29, pp. 1055–1062, 2023, doi: 10.11591/ijeecs.v29.i2.pp1055-1062.

M. D. S. Salwa Khalid Abdulateef, “A Comprehensive Review of Image Segmentation Techniques,” Iraqi J. Electr. Electron. Eng., vol. 17, pp. 166–175, 2021, doi: https://doi.org/10.37917/ijeee.17.2.18.

S. Rahman, T. A. Trisha, and M. Imran Hossain Imu, “Automated Vehicle License Plate Recognition System: An Adaptive Approach Using Digital Image Processing,” in Sustainable Advanced Computing, S. Aurelia, S. S. Hiremath, K. Subramanian, and S. K. Biswas, Eds., Singapore: Springer Singapore, 2022, pp. 303–319.

Published
2023-06-26
How to Cite
Utomo, N., Budiana, B., Jefiza, A., & Nakul, F. (2023). Sistem Pemetaan Parkir Menggunakan Teknik Image Processing. Journal of Applied Electrical Engineering, 7(1), 54-60. https://doi.org/10.30871/jaee.v7i1.5454
Issue
Vol 7 No 1 (2023): JAEE, June 2023
Section
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