The City of Raleigh Beyond Traffic: The Smart City Challenge The ...
SMART CITY TRAFFIC CONTROL SYSTEM final review
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Transcript of 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