Analysis of Combination of Parking System with Face Recognition and QR Code using Histogram of Oriented Gradient Method

Ilham Firman Ashari; Mohamad  Idri; M. Anas Nasrulah

doi:10.25299/itjrd.2022.9958

Authors

Ilham Firman Ashari Department of Informatics Engineering, Institut Teknologi Sumatera
Mohamad Idri Department of Informatics Engineering, Institut Teknologi Sumatera
M. Anas Nasrulah Department of Informatics Engineering, Institut Teknologi Sumatera

DOI:

https://doi.org/10.25299/itjrd.2022.9958

Keywords:

Security, Face Recognition, Dlib, HOG Method, QR Code

Abstract

Security is very important everywhere, including in the campus environment. To provide security and comfort for those who park their vehicles, a parking application is needed that can provide vehicle security while undergoing academic activities on campus. QR code (Quick Response Code) is a technology for converting written data into a two-dimensional code, which is printed on a more compact medium capable of storing various types of data. The most common individual part used to identify a person is the face because it has the unique characteristics of everyone. Histogram of Oriented Gradient (HOG) is a feature extraction used for face identification based on histogram of gradient orientation and gradient magnitude. This application is implemented using the Dlib library for facial recognition. The implementation of this method is expected to improve parking security and provide a record of parked vehicles. The results of testing the implementation of facial recognition methods into android applications show very satisfactory results. With the results of testing the QR code scanning accuracy of 100% and an accuracy of 90% for a 7% damage rate and an accuracy of 85% for a 15% damage rate, and the results of facial recognition testing of 90% on face photos wearing helmets and an accuracy of 92% on photo of face without helmet.

Downloads

Download data is not yet available.

References

L. Gustiaji, D. Herianto, and Y. M. Hadi, “Studi Optimalisasi Perparkiran Dan Pedestrian Di Fakultas Teknik Jurusan Teknik Mesin, Teknik Elektro, Teknik Kimia Dan Teknik Geofisika Universitas …,” J. Rekayasa Sipil Dan …, vol. 4, no. 1, pp. 33–42, 2016, [Online]. Available: http://journal.eng.unila.ac.id/index.php/jrsdd/article/viewFile/344/pdf.

A. R. Mazidah, A. Sumarsono, and D. Djumari, “Evaluasi Panjang Antrian Kendaraan Pada Pelayanan Pintu Keluar Parkir Di Hartono Lifestyle Mall Solo Baru,” Matriks Tek. Sipil, vol. 3, no. 2, p. 485, 2015, [Online]. Available: https://jurnal.uns.ac.id/matriks/article/view/37204.

I. F. Ashari, “Implementation of Cyber-Physical-Social System Based on Service Oriented Architecture in Smart Tourism,” J. Appl. Informatics Comput., vol. 4, no. 1, pp. 66–73, 2020, doi: 10.30871/jaic.v4i1.2077.

I. F. Ashari, A. J. Aryani, and A. M. Ardhi, “DESIGN AND BUILD INVENTORY MANAGEMENT INFORMATION SYSTEM,” vol. 9, no. 1, pp. 27–35, 2022.

A. Norhadi, A. Marzuki, L. Wicaksono, and R. Addetya Yacob, “Studi Debit Aliran pada Sungai Antasan Kelurahansungai Andai Banjarmasin Utara,” J. Poros Tek., vol. 7, no. 1, pp. 1–53, 2015.

A. Fernando Sianipar and N. Lutfiani, “Sistem Parkir Berbasis QR Code Pada Perguruan Tinggi Raharja,” Semin. Nas. Multi Disiplin Ilmu, vol. 1, no. November 2017, pp. 43–54, 2017, [Online]. Available: https://www.researchgate.net/publication/331429646.

E. F. Nurdiansyah, I. Afrianto, and S. V. Tiket, “IMPLEMENTASI QRCODE SEBAGAI TIKET MASUK EVENT DENGAN MEMPERHITUNGKAN TINGKAT KOREKSI KESALAHAN,” J. Teknol. dan Informasi2, vol. 7, no. 2, pp. 25–44, 2017.

B. M. Susanto, F. E. Purnomo, and M. F. I. Fahmi, “Sistem Keamanan Pintu Berbasis Pengenalan Wajah Menggunakan Metode Fisherface,” J. Ilm. Inov., vol. 17, no. 1, 2017, doi: 10.25047/jii.v17i1.464.

A. Budiman and J. Triono, “Sistem Informasi Parkir Kendaraan Bermotor Berbasis Android,” J. Ilm. Ilmu-Ilmu Tek. (Pilar Teknol., vol. 1, no. 1, p. 42, 2016.

A. B. Pradana, C. Ma’rifadiyah, D. Jatinugroho, and F. Z. Abidin, “Perancangan Sistem Perparkiran Rendah Biaya Berbasis Ponsel Cerdas Android,” J. Tek. Elektro, vol. 11, no. 1, pp. 31–35, 2019, doi: 10.15294/jte.v11i1.21202.

S. Bahri and H. Kusindaryadi, “Rancang Bangun Pemantauan Absensi Mahasiswa dengan Menggunakan Sidik Wajah secara Simultan Melalui CCTV Ruang Kelas,” Resist. (elektRonika kEndali Telekomun. tenaga List. kOmputeR), vol. 3, no. 1, p. 37, 2020, doi: 10.24853/resistor.3.1.37-44.

I. F. Ashari, M. D. Satria, and M. Idris, “Parking System Optimization Based on IoT using Face and Vehicle Plat Recognition via Amazon Web Service and ESP-32 CAM ( Case Study : Institut Teknologi Sumatera ),” vol. 11, no. 2, pp. 137–153, 2022.

I. F. Ashari and V. Adhelia, “Expert System and IoT for Diagnose of Feline Panleukopenia Virus Using Certainty Factor,” Matrik J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 21, no. 2, pp. 451–462, 2022, doi: 10.30812/matrik.v21i2.1517.

I. F. Ashari, M. Alfarizi, M. N. K, and M. A. H, “Vulnerability Analysis and Proven On The neonime . co Website Using OWASP ZAP 4 and XSpear,” J. Teknol. Komput. dan Sist. Inf., vol. 5, no. 2, pp. 75–81, 2022.

I. F. Ashari, “Graph Steganography Based On Multimedia Cover To Improve Security and Capacity,” in 2018 International Conference on Applied Information Technology and Innovation (ICAITI), 2018, no. April 2019, pp. 194–201.

E. A. W. Sanadi, A. Achmad, and Dewiani, “Pemanfaatan Realtime Database di Platform Firebase Pada Aplikasi E-Tourism Kabupaten Nabire,” J. Penelit. Enj., vol. 22, no. 1, pp. 20–26, 2018, doi: 10.25042/jpe.052018.04.

I. F. Ashari, A. G. Manalu, and R. Setiawan, “Analysis of Security Guard Scheduling System Using Genetic Algorithm and Tournament Selection ( Case Study : Institut Teknologi Sumatera ),” vol. 5, no. 2, pp. 202–207, 2021.

M. B. Pranoto, K. N. Ramadhani, and A. Arifianto, “Face Detection System Menggunakan Metode Histogram of Oriented Gradients ( HOG ) dan Support Vector Machine ( SVM ) Face Dtection System using Histogram of Oriented Gradients ( HOG ) Method amd Support Vector Machine ( SVM ),” e-Proceeding Eng., vol. 4, no. 3, pp. 5038–5045, 2017, [Online]. Available: https://openlibrarypublications.telkomuniversity.ac.id/index.php/engineering/article/view/5441.

Y. F. Munawaroh and I. Salamah, “Analisa Perbandingan Algoritma Histogram of Oriented Gradient (HOG) dan Gaussian Mixture Model (GMM) Dalam Mendeteksi Manusia,” Semin. Nas. Inov. dan Apl. Teknol. Di Ind. 2018, vol. 4, no. 2, pp. 251–255, 2018.

D. E. King, “Dlib-ml: A machine learning toolkit,” J. Mach. Learn. Res., vol. 10, pp. 1755–1758, 2009.