Closed-circuit television is otherwise known as Active
video surveillance has been widely utilized throughout
enormous groups of public and private entities on a whole,
on focused prevention of violence, burglary etcetera. But over
the years just the presence of these technologies hasn’t been
enough in preventing present or active violence. So we have
proposed different models that can detect firearm and alert
the human operator when a firearm is visible in the image.
The performance of the firearm detection model was analyzed
using multiple convolutional neural networks (CNN) architecture,
finding values up to 99% accuracy in a network configuration
based on MobileNet, about 97% accuracy for VGG16, and about
95% accuracy for ResNet.