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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
PREDICTION AND IDENTIFICATION OF UNUSUAL WEAPONS OR ITEMS BY USING YOLO ALGORITHM
Authors
L Kiran Kumar Reddy, Dr.B.Raveendranadh Singh, Prasad Babu, Gali Nikitha
Keywords
YOLO algorithm, Armament detection, region convolution neural networks, single shot detection
Abstract
Due to an increase in crime at packed events and unsettling lonely regions, security is always a top issue in all fields. Computer vision is widely used in abnormal detection and monitoring to solve various issues. Due to the increasing need to defend human safety, security, and property, video surveillance systems that can identify and decipher scene and anomaly occurrences are essential for intelligence monitoring. Using a yolo method, this project implements automated gun (or) weapon detection. The suggested implementation employs two different datasets. One dataset had photographs that were already labeled, whereas the other contained images that needed to be manually labeled. The results are accurately tabulated; however their use in practical circumstances can be based on the trade -off between speed and accuracy.
IJCRT's Publication Details
Unique Identification Number - IJCRTV020009
Paper ID - 231111
Page Number(s) - 43-47
Pubished in - Volume 5 | Issue 4 | November 2017
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
L Kiran Kumar Reddy, Dr.B.Raveendranadh Singh, Prasad Babu, Gali Nikitha, "PREDICTION AND IDENTIFICATION OF UNUSUAL WEAPONS OR ITEMS BY USING YOLO ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 4, pp.43-47, November 2017, Available at :http://www.ijcrt.org/papers/IJCRTV020009.pdf
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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