Sistem Pemetaan Parkir Menggunakan Teknik Image Processing
DOI:
https://doi.org/10.30871/jaee.v7i1.5454Kata Kunci:
Blynk, image processing, MySQL, sistem parkirAbstrak
Banyaknya masyarakat yang menggunakan kendaraan pribadi berdampak pada kebutuhan masyarakat terhadap area parkir semakin meningkat, termasuk di kawasan hunian apartemen. Keterbatasan untuk memperoleh informasi ketersediaan slot parkir mengakibatkan pengemudi kesulitan menemukan lokasi parkir yang tersedia. Penelitian ini bertujuan mengembangkan sistem pemetaan slot parkir yang efektif bagi pengelola dan user apartemen dengan menggunakan konfigurasi segmentasi analisis image processing dan MySQL server. Desain sistem bekerja untuk memproses plat kendaraan yang terdeteksi oleh kamera menggunakan segmentasi analisis pengolahan citra. Pemrosesan data menggunakan perangkat visual studio sebagai interface yang terhubung dengan MySQL sebagai database server dan mengaktifkan visualisasi slot dan lokasi parkir melalui aplikasi Blynk. Hasil penelitian menunjukan sistem dapat membaca plat kendaraan yang terdeteksi dan mengirimkan notifikasi ke Blynk untuk menginformasikan status slot dan lokasi parkir yang tersedia. Pengujian sistem juga dilakukan untuk setiap variasi jarak dan posisi sudut kamera untuk menentukan standar parameter sistem operasi yang baik.
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Referensi
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.
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