Open AccessWeapon Detection using Yolov4, CNN
Author(s) -
Atharv Belurkar,
Ashish Waghmare,
Sahil Mallick,
Nikhil Waghamode,
Prof. Reshma Totare
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41702
Subject(s) - computer science , operator (biology) , software , object detection , computer security , artificial intelligence , pattern recognition (psychology) , biochemistry , chemistry , repressor , transcription factor , gene , programming language
A Weapon Detection software is a very efficient way to monitor the streets and alert the operator only when there is a situation where people carrying a weapon like a gun or knife can be detected and analyzed with the help of Yolov4 object detection algorithm. And the notification of the same will be given via email to the CCTV operator with the photo where people carrying a gun or knife can be seen and also the location of the CCTV. So this will enhance the safety and security of any city with the requirement of limited man power. The proposed paper focuses on different approaches and algorithms that could potentially help in Weapon detection. Keywords: Weapon Detection, Yolov4, Google Colab, CNN