International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Weapon Detection and Alarm System Using Yolov5

Saif KhanStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaMujib SayyedStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaShikha YadavStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaBhavesh BhaleraoStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, IndiaAnjali Devi PatilProfessor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, New Mumbai, Maharashtra, India

Vol 7 No 3 (2023): Volume 7, Issue 3, March 2023 | Pages: 102-105

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 27-03-2023

doi Logo doi.org/10.47001/IRJIET/2023.703014

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Abstract

This paper presents a weapon detection and email alert system that utilizes the YOLOv5 deep learning architecture and a custom dataset of pistol images. The system is designed to detect the presence of pistols in real-time video streams and send an email alert to the administrator in the event of a positive detection. The custom pistol dataset was created to train the YOLOv5 model and improve its ability to accurately detect pistols in a variety of environments and conditions. The system was tested on various videos and was found to achieve high accuracy in detecting pistols with low false positive rates. The email alert feature ensures that the administrator is immediately notified in case of weapon detection, allowing for quick and effective response. This system has the potential to be integrated into various settings such as schools, public spaces, and security systems to enhance security and prevent weapons-related incidents.

Keywords

Weapon Detection, OpenCV, Alert System, Convolutional Neural Network, CNN, YoloV5


Citation of this Article

Saif Khan, Mujib Sayyed, Shikha Yadav, Bhavesh Bhalerao, Anjali Devi Patil, “Weapon Detection and Alarm System Using Yolov5” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 3, pp 102-105, March 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.703014

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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