This paper is published in Volume-4, Issue-2, 2018
Area
Embedded Systems
Author
P. S. Poojitha
Co-authors
R. Anitha, P. Naveen Kumar, S. Nikiil Gowtham, S. Niranjani
Org/Univ
Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
Pub. Date
26 March, 2018
Paper ID
V4I2-1377
Publisher
Keywords
Automatic Passenger Counting, Stereoscopic Vision Technology , Face Recognition, Data base , and Human Binocular Vision.

Citationsacebook

IEEE
P. S. Poojitha, R. Anitha, P. Naveen Kumar, S. Nikiil Gowtham, S. Niranjani. Smart IoT based Passenger Monitoring System in Airports, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
P. S. Poojitha, R. Anitha, P. Naveen Kumar, S. Nikiil Gowtham, S. Niranjani (2018). Smart IoT based Passenger Monitoring System in Airports. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
P. S. Poojitha, R. Anitha, P. Naveen Kumar, S. Nikiil Gowtham, S. Niranjani. "Smart IoT based Passenger Monitoring System in Airports." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

In the civil aviation airport, how to ensure the security of passenger travel is the focus of the work. Therefore, we need to inspect the certificates of passenger for travel security, and the face recognition method is researched. An improved a face recognition method and inspection of Certificate methods are proposed for passenger travel security based on relevant rules algorithm. The facial features of people need to be inspected are extracted, and the relevant probability of facial features are calculated. The disadvantages of traditional algorithm are overcome. The experimental results show that can improve the airport security certificate inspection efficiency, the face recognition efficiency is improved, and the satisfying results are obtained.