RANCANG BANGUN SISTEM PENGENALAN WAJAH DAFTAR PENCARIAN ORANG (DPO) BERBASIS JARINGAN SARAF TIRUAN

  • Hendro FJ Lami Undana
  • Silvester Tena Universitas Nusa Cendana
  • Beby H.A. Manafe Universitas Nusa Cendana
  • Johanis F.M Bowakh Universitas Nusa Cendana
  • Nursalim Nursalim Universitas Nusa Cendana
  • Sudirman S Universitas Nusa Cendana
Keywords: raspbery pi, face recognation, open cv, lora

Abstract

This study aims to design a system that is able to recognize the face of a people search list (DPO). The application is built using opencv and dlib ddan system testing is done with a dataset consisting of 6 target people. The target was identified when it was exactly perpendicular to the camera but the detection failed when the target's face was not exactly perpendicular. This study also models the transmission of target data detected using long range radio (LORA) at a frequency of 915

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Author Biographies

Silvester Tena, Universitas Nusa Cendana

Program Studi Teknik Elektro, Fakultas Sains dan Teknik Undana

Beby H.A. Manafe, Universitas Nusa Cendana

Program Studi Teknik Elektro, Fakultas Sains dan Teknik Undana

Johanis F.M Bowakh, Universitas Nusa Cendana

Program Studi Teknik Elektro, Fakultas Sains dan Teknik Undana

Nursalim Nursalim, Universitas Nusa Cendana

Program Studi Teknik Elektro, Fakultas Sains dan Teknik Undana

Sudirman S, Universitas Nusa Cendana

Program Studi Teknik Elektro, Fakultas Sains dan Teknik Undana

References

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[2] Wang, Mei, and Weihong Deng. "Deep face recognition: A survey." arXiv preprint arXiv:1804.06655 (2018).
[3] Lami, H., and S. I. Pella. "Implementasi Deteksi dan Pengenalan Wajah pada Sistem Ujian Online Menggunakan Metode Deep Learning Berbasis Raspberry Pi.".
[4] Schroff, Florian, Dmitry Kalenichenko, and James Philbin. "Facenet: A unified embedding for face recognition and clustering." Proceedings of the IEEE conference on computer vision and pattern recognition. 2015..
[5] Prasanna, D. Mary, and Ch Ganapathy Reddy. "Development of Real Time Face Recognition System Using OpenCV." Development 4.12 (2017).
[6] Mekki, Kais, et al. "A comparative study of LPWAN technologies for large-scale IoT deployment." ICT express 5.1 (2019): 1-7.
[7] Frenzel, L. "Long Range IoT on the road of success." Electronic Design (2017).
Published
2019-10-30
How to Cite
Lami, H., Tena, S., Manafe, B., Bowakh, J., Nursalim, N., & S, S. (2019). RANCANG BANGUN SISTEM PENGENALAN WAJAH DAFTAR PENCARIAN ORANG (DPO) BERBASIS JARINGAN SARAF TIRUAN. Media Elektro, 129 - 133. Retrieved from http://ejurnal.undana.ac.id/jme/article/view/1786
Section
Articles

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