Passenger Screening using Deep Learning and Artificial Neural Networks

Authors

  • Sarthak Arora Student, Department of Information Technology, Maharaja Agrasen Institute of Technology, GGSIPU, INDIA
  • Ankit Singh Rathore Student, Department of Information Technology, Maharaja Agrasen Institute of Technology, GGSIPU, INDIA
  • Saurabh Gautam Assistant Professor, Department of Information Technology, Maharaja Agrasen Institute of Technology, GGSIPU, INDIA

DOI:

https://doi.org/10.31033/ijemr.9.3.03

Keywords:

Transportation Security Administration, Advanced Image Technology, CNN

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.

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Published

2019-06-29

How to Cite

Sarthak Arora, Ankit Singh Rathore, & Saurabh Gautam. (2019). Passenger Screening using Deep Learning and Artificial Neural Networks. International Journal of Engineering and Management Research, 9(3), 40–42. https://doi.org/10.31033/ijemr.9.3.03

Issue

Vol. 9 No. 3 (2019): June Issue

Section

Articles