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Traffic automation

This model detect and classify the vehicle into their classes using tensorflow.

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The problem Traffic automation solves

This solve the problem of traffic jams in big cities.This will automate the traffic lights according vehicle density of that lane i.e. it will detect the no. and type of vehicles and we will calculate density of that line by giving weights to a vehicle,
For example- car takes double time to pass from a crossroad compared to bike when traffic was opened and bus will take about 4 times than bike. Now we will give the green signals as that lane required by comparing other lane conditions.

My model can also detect ambulance so it will give preference to that lane and green signal was opened and we can save a patient life;

Challenges I ran into

The problem I faced in this project is that

  1. In my laptop gpu is not present but this is solved by using google colab.
  2. For training the model we need only same extension file(in my case i used: jpg).

Discussion