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IoT Based Traffic Management in Smart Cities

  • Asma FarheenEmail author
  • S. Ashwini
  • K. G. Priyanka
  • P. R. Divya
  • R. Bhagya
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)

Abstract

Due to the overgrowing urban population around the globe, traffic congestion has become a major problem in cities. A traffic management prototype is developed and it comprises of IP Webcam to capture the image of vehicles for detection of vehicle density by using Area and Color segmentation (RGB) technique and this information is updated and stored in cloud (Thing Speak) for the ease of drivers. In Image processing, Character Recognition method is used to detect the driver who evades the traffic signal by vehicle’s number plate using IR sensor. GSM module is incorporated in the hardware to send message to police and driver intimating about the fine charges.

Keywords

Traffic congestion Cloud (Thing Speak) Image processing Vehicle density RGB object 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Asma Farheen
    • 1
    Email author
  • S. Ashwini
    • 1
  • K. G. Priyanka
    • 1
  • P. R. Divya
    • 1
  • R. Bhagya
    • 1
  1. 1.Department of TelecommunicationR.V College of EngineeringBengaluruIndia

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