BORDER SURVEILLANCE USING FACE RECOGNITION, MOBILE OTP AND EMAIL

Authors

  • Deepali Gupta Professor-Research (CURIN), Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
  • Naresh Kumar MSIT https://orcid.org/0000-0001-9984-506X

DOI:

https://doi.org/10.31436/iiumej.v21i2.1322

Keywords:

Eigen face; Face Detection; Face Recognition, Training set.

Abstract

Expanding strains over Indian borders with illegal crossings and examining past assaults on the nation, it is clear that in a large portion of the cases, security powers are uninformed of the movement of these interlopers. For this reason, a framework is needed to manage the border issue that would be equipped for working in sloping landscapes where there is no power. This paper manages identification and situating of interlopers crossing the border utilizing PIR sensors and cameras. In the event of any undesirable crossing in the area, the sensor quickly detects it and the camera will stream pictures to the base station (BS). Relying upon the guidance originating from the BS, the sensor will either activate the camera for further streaming or turn it off. The objective of this paper is to give a framework that will help the Border Security Force (BSF) in controlling all sorts of illicit activities near the outskirt in a superior and precise manner.

ABSTRAK: Merentas isu sempadan India dengan kegiatan pencerobohan sempadan dan dengan mengambil kira kutukan lepas terhadap bangsa kami, adalah jelas dalam banyak-banyak kes ini pegawai keselamatan tidak diberitahu tentang bahagian yang dicerobohi. Dalam keadaan ini, kita memerlukan rangka kerja bagi mengurus masalah sempadan di mana kelengkapan perlu dipasang di tebing landskap yang tidak mempunyai sumber tenaga. Kajian ini mengurus identiti pengenalan dan kedudukan kegiatan haram yang berleluasa di sempadan dengan mengguna pakai pengesan PIR dan kamera. Apabila terdapat perubahan pergerakan yang tidak diingini di sempadan, PIR akan mengesan pergerakan dengan cepat dan kamera akan menggaris arus gambar-gambar ke stesen utama (BS) dan bergantung kepada panduan pengkalan di BS, pengesan akan membuat kamera lebih bergaris arus atau berhenti merekod. Kajian ini pentng bagi menunjukkan rangka yang membantu Penguatkuasaan Keselamatan Sempadan (BSF) dalam mengawal semua kegiatan haram berhampiran sempadan dengan bermutu dan tepat.

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Published

2020-07-04

How to Cite

GUPTA, D. ., & KUMAR, N. . (2020). BORDER SURVEILLANCE USING FACE RECOGNITION, MOBILE OTP AND EMAIL. IIUM Engineering Journal, 21(2), 143 - 152. https://doi.org/10.31436/iiumej.v21i2.1322

Issue

Section

Electrical, Computer and Communications Engineering