  Violence rates however have been brought down about 57% during the span of
the past 4 decades yet it doesn't change the way that the demonstration of
violence actually happens, unseen by the law. Violence can be mass controlled
sometimes by higher authorities, however, to hold everything in line one must
"Microgovern" over each movement occurring in every road of each square. To
address the butterfly effects impact in our setting, I made a unique model and
a theorized system to handle the issue utilizing deep learning. The model takes
the input of the CCTV video feeds and after drawing inference, recognizes if a
violent movement is going on. And hypothesized architecture aims towards
probability-driven computation of video feeds and reduces overhead from naively
computing for every CCTV video feeds.
