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  Published Paper Details:

  Paper Title

  Authors

  SHAIK.GAFFAR,  SHRAVANI.C,  LAVANYA.V,  M.SHANMUKH,  K. VENKATA RAJESH

  Keywords

System Design,Sensor ,IntegrationCrash, Detection Algorithm,GSM Module Configuration,Power Management,Testing and Calibration,

  Abstract


This project addresses the pressing issue of road safety for two-wheeler vehicles by developing and deploying a Bike Crash Detection system. Leveraging advanced sensor networks and a unique algorithm, the system identifies critical situations in real-time and automatically sends SOS signals for swift response. The outcomes demonstrate the system's effectiveness in improving two-wheeler safety, marking a significant advancement in road safety technology. Beyond its immediate applications, the project provides valuable insights for the implementation of bike crash detection systems, serving as a catalyst for innovation and progress in transportation safety.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2401192

  Paper ID - 249220

  Page Number(s) - b525-b528

  Pubished in - Volume 12 | Issue 1 | January 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  SHAIK.GAFFAR,  SHRAVANI.C,  LAVANYA.V,  M.SHANMUKH,  K. VENKATA RAJESH,   "BIKE CRASH DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 1, pp.b525-b528, January 2024, Available at :http://www.ijcrt.org/papers/IJCRT2401192.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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