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Development of Laser-Beam Cutting-Edge Technology and IOT-Based Race Car Lapse Time Computational System

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Data Analytics for Internet of Things Infrastructure

Part of the book series: Internet of Things ((ITTCC))

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Abstract

Measurement of race car laps is a crucial parameter. Car racing is one of the most popular sport activities all over the world. Lap crossing decides the winners based on time lines. Therefore, calculation of timing plays an important role in racing. As every millisecond or microsecond difference cannot be viewed by the naked eye, accurate time calculation should be computed so that the exact winner can be awarded. The proposed system uses laser beam transmitter and receiver for detecting laps crossing. The ATMEGA 328 controller continuously triggers the laser transceiver. The detection of vehicle is based on beam cutting, and the beam cutting time is compared with the existing fully automatic testing systems. The developed system is dedicated to sense the number of lapses made by the racing vehicle, and lapse details are uploaded to the google cloud. The proposed system supports maximum laps width of 12 m and a computing time delay of 1–10 ns.

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Author information

Authors and Affiliations

  1. Department of ECE, Sona College of Technology, Salem, Tamilnadu, India

    B. Thiyaneswaran, E. Ganasri & A. H. Hariharasudan

  2. Department of ECE, Knowledge Institute of Technology, Salem, Tamilnadu, India

    S. Kumarganesh

  3. Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India

    K. Martin Sagayam

  4. College of technical engineering, The Islamic University, Najaf, Iraq

    Ahmed Alkhayyat

Authors
  1. B. Thiyaneswaran
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  2. E. Ganasri
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  3. A. H. Hariharasudan
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  4. S. Kumarganesh
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  5. K. Martin Sagayam
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  6. Ahmed Alkhayyat
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Editor information

Editors and Affiliations

  1. SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  2. Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Xi’an Shiyou University, Xi'An, China

    Yan Zhang

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Thiyaneswaran, B., Ganasri, E., Hariharasudan, A.H., Kumarganesh, S., Sagayam, K.M., Alkhayyat, A. (2023). Development of Laser-Beam Cutting-Edge Technology and IOT-Based Race Car Lapse Time Computational System. In: Sharma, R., Jeon, G., Zhang, Y. (eds) Data Analytics for Internet of Things Infrastructure. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-33808-3_8

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  • DOI: https://doi.org/10.1007/978-3-031-33808-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33807-6

  • Online ISBN: 978-3-031-33808-3

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