Artificial Intelligence based Smart traffic monitoring system and automatic street lights

We propose a deep learning model training on GPU nvidea 1060ti 6gb to detect,count vehicles and control one way traffic lights.The proposed model is be composed of several components to improve the performance such as congestion control and automatic street lights using sensors and arduino to integr

Project Title

Artificial Intelligence based Smart traffic monitoring system and automatic street lights

Project Area of Specialization

Artificial Intelligence

Project Summary

We propose a deep learning model training on GPU nvidea 1060ti 6gb to detect,count vehicles and control one way traffic lights.The proposed model is be composed of several components to improve the performance such as congestion control and automatic street lights using sensors and arduino to integrate whole setup.Our developed solution is targeted to incorporate the progress in the deep learning where low power embedded devices integrate as part of next generation Traffic management system.

Project Objectives

1).Counting of cars using deep learning models and performing several functions upon counted cars according to situation of congestion.
2).Automatic street lights for power saving purpose.

Project Implementation Method

1).First training of model and counted cars through object detection using CNN has been performed
using 1060ti 6gb.
2).Performed checks on stored counting vehicle variable for operating of signals.
3).Inetgration of arduino and trained model using camera.
4).Integration of both models for 1-way intersections.
5).Using wood model and embedding automatic street lights using sensors.

Benefits of the Project

1).Reduce day-to-day congestion by improving traffic flow.
2).Provide data for further improvement in transportation.
3).Prioritize traffic according to real time changes in traffic conditions.
4).Reduce pollution by limiting traffic jams.
5).Saving energy by automation of highway lights.

Technical Details of Final Deliverable

This system is designed to govern traffic at road networks, sensing through cameras by means of Deep Learning, surveillance IR sensor which are embedded on roadsides in order to save energy on highway lights.The system works in distributed manner, it processes the cameras that operates the signals control.

Final Deliverable of the Project

Hardware System

Core Industry

Education

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Sustainable Cities and Communities

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com