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Traffic Violation Tracker and Controller

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • S. P. Maniraj

    (SRM Institute of Science and Technology)

  • Tadepalli Sarada Kiranmayee

    (SRM Institute of Science and Technology)

  • Aakanksha Thakur

    (SRM Institute of Science and Technology)

  • M. Bhagyashree

    (SRM Institute of Science and Technology)

  • Richa Gupta

    (SRM Institute of Science and Technology)

Abstract

It has always been noticed that the excuse given for any work delay are traffic. Urbanites face a lot of trouble due to traffic congestion. These congestions are caused by multiple reasons like traffic violators, traffic collision, inadequate green time, obstacles and many other reasons. Sometimes this can be due to traffic signal going out of sync due to system malfunctioning. Various interesting and engrossing advancements in this sector can be made using the field of IoT. It can bring many visions true to the real world. This paper focuses on reducing the reasons for traffic congestion by tackling them and providing the traffic handlers a technological relief, by giving them a centrally tracking system controlled via a network. For the gathering and processing of the real-time data, IoT is used. This processed information is sent to Cloud for further processes. This stratagem is generalized and can be deployed anywhere efficiently without much manual efforts.

Suggested Citation

  • S. P. Maniraj & Tadepalli Sarada Kiranmayee & Aakanksha Thakur & M. Bhagyashree & Richa Gupta, 2020. "Traffic Violation Tracker and Controller," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 335-343, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_31
    DOI: 10.1007/978-3-030-41862-5_31
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