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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Weapon Identification using DL for Security Applications
Authors Name: Sandeep , Ashish Ladda
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IJRTI_190132
Published Paper Id: IJRTI2407029
Published In: Volume 9 Issue 7, July-2024
DOI:
Abstract: Abstract: Due to an increase in the rate of crime during a crowded event or in suspiciously isolated areas, security is always a primary concern in every field. Unusual location and observing have significant utilizations of PC vision to handle different issues. Because of developing interest in the security of wellbeing, security and individual properties, necessities and organization of video reconnaissance frameworks can perceive and decipher the scene and oddity occasions assume an essential part in knowledge observing. This paper uses convolutional neural network (CNN) algorithms called SSD and Faster RCNN to apply automatic gun (or armament) discovery. The proposed implementation makes use of two distinct kinds of datasets. One dataset contained pictures that had already been marked, and the other contained a collection of pictures that were physically named. Results are arranged, the two calculations accomplish great precision, however their application in genuine circumstances can be founded on the compromise among speed and exactness.
Keywords: Keywords: Weapon Detection, Yolov5, CNN.
Cite Article: "Weapon Identification using DL for Security Applications", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 7, page no.283 - 287, July-2024, Available :http://www.ijrti.org/papers/IJRTI2407029.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2407029
Registration ID:190132
Published In: Volume 9 Issue 7, July-2024
DOI (Digital Object Identifier):
Page No: 283 - 287
Country: Warangal , Telangana , India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2407029
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2407029
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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