Status : Completed
Tags: python Deep Learning
To train a deep learning model from vehicle detection and classification for automating traffic flow.
Deep Learning
Image Processing
Tensorflow
Google Colab
The main purpose of our project is to train a vehicle detection model and apply it to create an algorithm for smooth flow of traffic. The model not only detects the vehicles but also classifies it into categories to define the density of each vehicle type.
Our algorithm for traffic automation is based on clearing the traffic according to the calculated total density of each lane and providing each lane the required time for the flow of traffic.
Project By:
Mentored By: Gaurav Bansal (20165142)
Future applications: