Street eye

Using Machine learning to solve traffic problems

Team members

Hatem alkhonini
Muath alsaeed
Abdulrahman alhomaidany

Table of content

Street eye

Introduction

this project is focusing on finding a new way to solve the traffic problem using machine learning and computer vision
will mention some problems in traffic and how will be solved in this project
And future work to make it more efficient and reliable

Tools used for the project

OpenCV
yolo
Python programming language
Visual studio code
Pycharm

Traffic problems

when and where the traffic will happen

It is hard to know where the traffic will happen and when Because if we know when and where the traffic jams we can act accordingly And it need to be fast and accurate to revent the traffic jam before it happens

What is the reason of the traffic

It seems impossible to know the reason of the traffic jams with out data or information that help to identify the reason That means it needs collecting data to identify the reason of traffic jam

Solutions

vehicles classification and counting

Using surveillance cameras and using openCV library and python programming language to count and classify the vehicle
By counting the vehicles we can know if the capacity of the road can handle this number or not
And classify the vehicles to identify the trucks and cars because the size of the vehicle is effecting the capacity of the road

Vehicles tracking

Using surveillance cameras and using openCV library and python programming language to track the vehicle movement
By tracking the movement of the vehicles we can identify the speed of the vehicle to predict the reason of the traffic jam
Because unmoving object or under speed vehicle is causing the traffic jam

Future work

This project have a good potential to make the traffic monitoring and implementing autonomously
By connoting the project with a simulated map for roads of the city
And connect it with AI to control traffic lights to control the traffic more efficiently

asaah18/Street-tracing