System Pendeteksi Pelanggar Traffic Light pada Zebra Cross MenggunakanoRaspberry Pi Berbasis Pengolahan Citra Digital

Authors

  • Rachmat Hidayat S Universitas Merdeka Malang
  • Abdur Rabi’ Universitas Merdeka Malang
  • Elta Sonalitha Universitas Merdeka Malang

DOI:

https://doi.org/10.32486/jeecae.v5i1.337

Keywords:

Pengolahan Citra Digital, Raspberry Pi, Open CV, Contour Area, Background Substraction

Abstract

Berdasarkan permasalahan terkait banyaknya pelanggaran pada zebra cross, penulis bertujuan membuat penelitian tentang system pendeteksi pelanggar traffic light pada Zebra cross menggunakan Raspberry Pi berbasis pengolahan citra digital denganomenggunakan library open CV dan metode contour area dan background substraction sebagai pendeteksi bentuk zebra cross dan mendeteksi objek pelanggar. Dalam penelitian ini berhasil mendapatkan data pendeteksian pada klasifikasi objek kendaraan dengan luas objek kendaraan motor dengan luas objek 5000-9500 pixel dan untuk luas objek pada kendaraan mobil memiliki lebih dari 10000 pixel.

References

T. A. S, A. Rabi’, D. Minggu, and I. Mujahidin, “Frequency Hopping Video Real Time Untuk Pengamanan Data Pengintaian Operasi Inteligence TNI,” JASIEK (Jurnal Apl. Sains, Informasi, Elektron. dan Komputer), 2019.

D. A. Prasetya, A. Sanusi, G. Chandrarin, E. Roikhah, I. Mujahidin, and R. Arifuddin, “Community Culture Improvisation Regarding Waste Management Systems and Per Capita Income Increase,” J. Southwest Jiaotong Univ., vol. 54, no. 6, 2019.

F. Pakaja and A. Naba, “Jaringan Syaraf Tiruan dan Certainty Factor,” Neural Networks, 2015.

S. Santika, N. Nachrowie, D. A. Prasetya, and B. F. Hidayatulail, “Mini Plant Sistem Pengendali Berat Limestone Pada Pltu Tanjung Jati B Unit #3&4 Berbasis Plc Dan Arduino Mega 2560,” JASIEK (Jurnal Apl. Sains, Informasi, Elektron. dan Komputer), 2019.

Y. Prayudi and I. Aprizal, “Pemodelan Wajah 3D Berbasis Foto Diri Menggunakan Maya Embedded Language (MEL) Script,” Media Inform., 2017.

D. A. Prasetya, A. Sanusi, G. Chandrarin, E. Roikhah, I. Mujahidin, and R. Arifuddin, “Small and Medium Enterprises Problem and Potential Solutions for Waste Management,” J. Southwest Jiaotong Univ., vol. 54, no. 6, 2019.

S. K. Sugiarto, I. Mujahidin, and A. B. Setiawan, “2, 5 GHz Antena Mikrostrip Polarisasi Circular Model Patch Yin Yang untuk Wireless Sensor,” JEECAE (Journal Electr. Electron. Control. Automot. Eng., vol. 4, no. 2, pp. 297–300, 2019.

I. Mujahidin and B. F. Hidayatulail, “2.4 GHz Square Ring Patch With Ring Slot Antenna For Self Injection Locked Radar,” JEEMECS (Journal Electr. Eng. Mechatron. Comput. Sci., vol. 2, no. 2, 2019.

B. F. Hidayatulail and I. Mujahidin, “Potential OF 77, 78 mW Red Diode Laser For Photodynamic,” JEEMECS (Journal Electr. Eng. Mechatron. Comput. Sci., vol. 2, no. 2, 2019.

J. Florez, F. Calderon, and C. Parra, “Video stabilization taken with a snake robot,” in Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013, 2013.

Y. Lecun, Y. Bengio, and G. Hinton, “Deep learning,” Nature. 2015.

I. Mujahidin, S. H. Pramono, and A. Muslim, “5.5 Ghz Directional Antenna with 90 Degree Phase Difference Output,” 2018.

Y. Guo, Y. Liu, A. Oerlemans, S. Lao, S. Wu, and M. S. Lew, “Deep learning for visual understanding: A review,” Neurocomputing, 2016.

B. Matheus and H. Schiabel, “A CADx Scheme in Mammography: Considerations on a Novel Aproach,” in ADVCOMP 2013 : The Seventh International Conference on Advanced Engineering Computing and Applications in Sciences, 2013.

S. Rege, R. Memane, M. Phatak, and P. Agarwal, “2D Geometric Shape And Colorrecognition Usingdigital Image Processing,” Int. J. Adv. Res. Electr. Electron. Instrum. Energy, 1970.

S. Sjogelid, Raspberry Pi for Secret Agents. 2013.

D. J. Norris, Beginning Artificial Intelligence with the Raspberry Pi. 2017.

DA Prasetya, EFA Phong Thanh Nguyen, Rinat Faizullin, Iswanto Iswanto, “Resolving the Shortest Path Problem using the Haversine Algorithm,” in Journal of critical reviews 7 (1), 62-64, 2020.

Zhang, Y., Yasuno, T., DA Prasetya, “Adaptive walking for quadruped robot on irregular terrain by using CPG network,” in 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, Pages 1734-1737, 2013.

Published

2020-05-29

How to Cite

Rachmat Hidayat S, Abdur Rabi’, & Elta Sonalitha. (2020). System Pendeteksi Pelanggar Traffic Light pada Zebra Cross MenggunakanoRaspberry Pi Berbasis Pengolahan Citra Digital. JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering), 5(1), 1–8. https://doi.org/10.32486/jeecae.v5i1.337