SMART CITY TRAFFIC CONTROL SYSTEM final review

SMART CITY TRAFFIC CONTROL SYSTEM USING VIDEO PROCESSING AND

INTERNET OF THINGS

Vikas Singh Rajput (UR12EC253)Sunil Kumar Singh (UR12EC238)

Titus M Mathews (UR12EC247)Shrikant Mahapatra (UR12EC228)

Guide:- Mrs. Bella Mary

Objective• To design a system which controls

traffic light on the basis of traffic density using video processing.

• Store videos at cloud which can be used for surveillance purpose.

• Traffic update on Internet using IoT.

Existing Traffic Control System

• Manual Controlling• Automatic Controlling

• Heavy Traffic Jams• No traffic, but still need to wait

Limitations

Proposed project• A system is proposed in this project which

controls traffic dynamically according to the density using video processing. If a particular lane is highly dense then it will be given more time to flow the traffic otherwise less time will be given.

• The video recorded is also storing at cloud which can be used for surveillance purpose.

• The traffic density is also updated on Internet in regular interval of time and this can be done by using IoT.

Advantage of proposed project

• Less time wastage.• Automatic and dynamic control of

Traffic.• Video can be used for surveillance.• User can check traffic density on

Internet.

Block Diagram

Modules Video processing done by Raspberry

Pi. Make a cloud storage for video

storage. Control the traffic lights using

Raspberry. Traffic update on Internet using IoT.

Flowchart

Result Original Frame

Background using Frame Subtraction

Foreground Abstraction

After Morphological Transform

Blob Detection

Output

Traffic Update using Internet of Things

Traffic Update of four lanes

OwnCloud

Storage of video in cloud

References MathWorks Wikipedia What-when-how.com Tutorialspoint.com Raspberrypi.org Opencv.org Github.com

THANKYOU