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Gun Identification Using Tensorflow

  • Mitchell Singleton
  • Benjamin Taylor
  • Jacob Taylor
  • Qingzhong Liu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 251)

Abstract

Automatic video surveillance can assist security personnel in the identification of threats. Generally, security personnel are monitoring multiple monitors and a system that would send an alert or warning could give the personnel extra time to scrutinize if a person is carrying a firearm. In this paper, we utilize Google’s Tensorflow API to create a digital framework that will identify handguns in real time video. By utilizing the MobileNetV1 Neural Network algorithm, our system is trained to identify handguns in various orientations, shapes, and sizes, then the intelligent gun identification system will automatically interpret if the subject is carrying a gun or other objects. Our experiments show the efficiency of implemented intelligent gun identification system.

Keywords

Tensorflow Gun detection Video surveillance 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Mitchell Singleton
    • 1
  • Benjamin Taylor
    • 1
  • Jacob Taylor
    • 1
  • Qingzhong Liu
    • 1
  1. 1.Department of Computer ScienceSam Houston State UniversityHuntsvilleUSA

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