Roads are monitored via way of means of
CCTV cameras passively i.e. expertise isn't always
generated via way of means of the CCTV cameras.
Human useful resource constraint i.e. there may be the
very restricted posting of the visitor's police personnel at
road crossings, highways, and far off places. In many
cases, injuries are happened because of negligence via
way of means of the pedestrian and being stranded in
far-off places. Adding to this, even the bulk of human
beings surrounding the coincidence scene are busy
clicking photographs and videos ignorant of the truth
that their little negligence should value a life. The photos
are available to the government agencies after trouble
has happened. To conquer this, we endorse a wise device
that could employ the prevailing CCTV cameras with
nighttime vision. The proposed device captures the video
stream, computes the input, and the device signals are
generated in real-time, because of this that no extra
sensors could be required. Using the digital digicam
itself, the plan is to discover injuries in real-time and
additionally send signals to ambulances or firefighting
services; in order that suitable assets wished for saving
lives are to be had in time. In many cases, injuries are
suggested as a result of negligence on the part of street
customers and being stranded in remote locations.
Furthermore, the vast majority of people in the vicinity
of the accident scene are preoccupied with taking
photographs and videos, oblivious to the fact that their
inattention could cost a life. To overcome this, we
recommend a clever gadget that can make use of existing
CCTV cameras with night vision.
Keywords : Convolutional Neural Network, ResNet, Traffic net, openCV, LSTM, GPS, REST.