• P. Deekshitha
• P. Nikhilesh
• K. Sai Charith
• Aniroodh Reddy
• P. Swetha

The study has been undertaken to detect the important features without any human supervision. For example, given many pictures of cats and dogs, it learns distinctive features for each class by itself. Here, CNN is computationally efficient. In this article, we proposed an implementation of traffic signs recognition algorithm using CNN. Weapon detection using deep learning have shown promising results in detecting firearms and other dangerous objects in surveillance images. These systems have the potential to improve public safety by providing real time alerts to law enforcement agencies in situations where weapons are present.

Computational Neural Network, Deep Learning, Firearms, Weapons.

"Weapon Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.k24-k27, March-2024, Available :http://www.jetir.org/papers/JETIR2403A03.pdf

"Weapon Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppk24-k27, March-2024, Available at : http://www.jetir.org/papers/JETIR2403A03.pdf