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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 4, APRIL 2023

Weapon Detection Using Deep Learning

Dhinesh M, Jegadeshwarn , Jancy Sickory Daisy S , Maheswari M , Dr. Roselin Mary S

DOI: 10.17148/IJARCCE.2023.124196

Abstract: Gun violence has become a first-rate motive ultra-modern misery in the present society. the dearth state -of-the-art right mechanisms to stumble on and become aware of guns in advance outcomes within the increase modern -day the impact caused by gun-related violence. This idea paper offers a look at for concealed weapon detection in IR photographs using picture Processing and open CV and CNN. The proposed device will perform the fusion today's IR photos with corresponding RGB pics accompanied by open cv detection models. Protection and safety is a massive situation for today’s modern-day world. For a rustic to be economically robust, it ought to make certain a safe and comfy surroundings for investors and travellers . Having stated that, Closed Circuit television (CCTV) cameras are getting used for surveillance and to display sports i.e. robberies however those cameras still require human supervision and intervention.  Index Terms :  Gun detection, deep studying, item detection, artificial intelligence, laptop imaginative and prescient.

How to Cite:

[1] Dhinesh M, Jegadeshwarn , Jancy Sickory Daisy S , Maheswari M , Dr. Roselin Mary S, “Weapon Detection Using Deep Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.124196