INTELLIGENT FIREARMS MONITORING FOR SMART CITIES USING DEEP LEARNING

Authors

  • Dr.C.Mohammed Gulzar, G.Sanjay Rohan, D.Kalyan,B.Sirinath

Keywords:

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Abstract

Ensuring public safety in smart cities requires advanced surveillance and monitoring systems capable of detecting potential threats in real time. Firearms-related incidents pose a significant risk to urban security, necessitating intelligent solutions for rapid identification and response.

References

A. Remuzzi and G. Remuzzi, ‘‘COVID-19 and Italy: What next?’’ Lancet, vol. 395,no. 10231, pp. 1225–1228, Apr. 2020.

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Published

2024-09-10

How to Cite

Dr.C.Mohammed Gulzar, G.Sanjay Rohan, D.Kalyan,B.Sirinath. (2024). INTELLIGENT FIREARMS MONITORING FOR SMART CITIES USING DEEP LEARNING. Journal of Computational Analysis and Applications (JoCAAA), 33(4), 601–611. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2003

Issue

Vol. 33 No. 4 (2024): Selected Papers on Computational Techniques Across Multidisciplinary Fields: Innovations and Applications

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.