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Smart Bike Monitoring System Using IoT

  • Sneh Lata
  • , Sinchana T. Gowda
  • , K. P. Spandana
  • , R. A. Srinivasa Reddy
  • , N. Sumith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The smart bike monitoring system using IoT is a modern solution that integrates the internet of things technology into bikes. The system includes various sensors and devices that collects data from the bike and its surroundings. This information is then analyzed and processed to monitor bike performance, detect any faults and provide insights to improve bike usage. The system is connected to the internet, allowing bike owners to monitor their bike. The system provides features such as to monitor the vehicle to follow the lane, avoid accidents by enabling auto braking system, improve safety by alerting the owner in case of accidents or emergencies, detect the emission of smoke in engine, turn on headlights when dense fog is detected and also to provide real time alerts and notifications on web page.

Original languageEnglish
Title of host publicationProceedings - 2023 7th International Conference on Design Innovation for 3 Cs Compute Communicate Control, ICDI3C 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages118-122
Number of pages5
ISBN (Electronic)9798350395556
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event7th International Conference on Design Innovation for 3 Cs Compute Communicate Control, ICDI3C 2023 - Bangalore, India
Duration: 02-11-2023 → …

Publication series

NameProceedings - 2023 7th International Conference on Design Innovation for 3 Cs Compute Communicate Control, ICDI3C 2023

Conference

Conference7th International Conference on Design Innovation for 3 Cs Compute Communicate Control, ICDI3C 2023
Country/TerritoryIndia
CityBangalore
Period02-11-23 → …

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Modelling and Simulation
  • Instrumentation

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