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was done on two dataset VIRAT and MIT Traffic as The strategies were likewise tried on a
video of Indian street movement with just 360p determination and temperamental camera as
the most dire outcome imaginable to get the correct data about the working of the three
methods and discover the best reasonable. We discovered that GMG performed well contrast
with others and consequently we utilized it with Canny edge identification to check whether
we can utilize all the more precisely followed edge of moving vehicle for our framework.
Our future work will incorporate development of bouncing box and impediment end. The
jumping box is a container shape covering moving vehicle in each edge and it will likewise
be valuable in distinguishing impediment between two vehicles. We will attempt to explore
different avenues regarding distinctive techniques for vehicle following and mischance
location and actualize them to locate the most appropriate one for our objective. We intend to
test the proposed framework in live condition for vehicle discovery. The framework will be
tried for remote access over the web utilizing the web dongle and a battery as power source
giving it an independency. This gets to and controls the framework from any geological area.
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