International Journal of Engineering and Management Research (IJEMR)
  • Year: 2019
  • Volume: 9
  • Issue: 3

Passenger Screening using Deep Learning and Artificial Neural Networks

  • Author:
  • Sarthak Arora1,, Ankit Singh Rathore2, Saurabh Gautam3
  • Total Page Count: 3
  • Page Number: 40 to 42

1Student, Department of Information Technology, Maharaja Agrasen Institute of Technology, GGSIPU, India

2Student, Department of Information Technology, Maharaja Agrasen Institute of Technology, GGSIPU, India

3Assistant Professor, Department of Information Technology, Maharaja Agrasen Institute of Technology, GGSIPU, India

*Correspondence Author: sarthakarora.1997@gmail.com

Online published on 19 July, 2019.

Abstract

In this research, we have to detect the contrabands hidden in the human body's scanned images at airport security machines using segmentation and classification. Present algorithm of security scanning machines at the airports of USA are producing high rate of false negatives which in cases lead to engage in a secondary, manual screening process that slows everything down. So to resolve this problem and to improve the detection of contrabands, new and efficient algorithm need to be made.

Keywords

Transportation Security Administration, Advanced Image Technology, CNN