This paper is published in Volume-5, Issue-1, 2019
Area
Computer Vision
Author
Siddesh Patil
Co-authors
Mrunal Shidore, Tejas Prabhu, Sanket Yenare, Vaibhav Somkuwar
Org/Univ
Vishwakarma Institute of Technology, Pune, Maharashtra, India
Pub. Date
21 February, 2019
Paper ID
V5I1-1368
Publisher
Keywords
Theft, Computer vision, CNN

Citationsacebook

IEEE
Siddesh Patil, Mrunal Shidore, Tejas Prabhu, Sanket Yenare, Vaibhav Somkuwar. Theft detection using computer vision, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Siddesh Patil, Mrunal Shidore, Tejas Prabhu, Sanket Yenare, Vaibhav Somkuwar (2019). Theft detection using computer vision. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.

MLA
Siddesh Patil, Mrunal Shidore, Tejas Prabhu, Sanket Yenare, Vaibhav Somkuwar. "Theft detection using computer vision." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.

Abstract

Theft is one of the most common criminal behaviors and it is increasing day by day. It has become one of the never-ending problems of the world. In the USA alone, about 7000 cases of baggage theft are reported to Transportation Security Administration (TSA) for theft on airports. Most of the screening takes place before the passengers and their luggage can get on the plane. In order to stop these increasing theft on the airports, a robust system is required which would detect if there is any robbery taking place and would inform the respective authorities. So to solve this problem, we will be creating a system which would accurately track the people and their baggage's and would detect if there is any theft and would inform the authorities.
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