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  Published Paper Details:

  Paper Title

DRIVING ASSISTANT WITH CRASH DETECTION AND ALERT SYSTEM USING ML AND IOT

  Authors

  Neeta Chavan,  Varun Vicharay,  Omkar Salunkhe,  Siddhant Sawant,  Ayush Sachdev

  Keywords

Crash Detection, Crash Prevention, Traffic Sign Detection and Recognition, Convolutional Neural Network, Ultrasonic Sensor, GPS, GSM, Accelerometer

  Abstract


In today's world, almost everything we do has been simplified by automated tasks. In an attempt to focus on the road while driving, drivers often miss out on signs on the side of the road, which could be dangerous for them and for the people around them. 85 percent of road accidents occur due to the drivers not being able to control or stop the car on time. So to prevent this we have come up with an idea of car crash prevention and detection and also detecting the road signs simultaneously. So, In our project, Traffic Sign Detection and recognition(TSDR) plays an important role here by detecting and recognizing a sign, thus notifying the driver through voice of any upcoming signs. TSDR application not only ensures road safety, but also allows the driver to be a little more at ease while driving on tricky roads. In car crash prevention and detection on normal roads we are going to implement a cheaper and easier way to stop accidents. For crash prevention we use ultrasonic sensors to detect and calculate the distance between cars to alert the driver using the LED and buzzer installed. Most of the time it has been seen that the injured person did not die from the injury suffered due to the accident but due to the late response from the emergency department. So, in crash detection we use GPS and GSM to locate the place of accident and alert the registered number about the accident.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2201541

  Paper ID - 215385

  Page Number(s) - e813-e819

  Pubished in - Volume 10 | Issue 1 | January 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Neeta Chavan,  Varun Vicharay,  Omkar Salunkhe,  Siddhant Sawant,  Ayush Sachdev,   "DRIVING ASSISTANT WITH CRASH DETECTION AND ALERT SYSTEM USING ML AND IOT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 1, pp.e813-e819, January 2022, Available at :http://www.ijcrt.org/papers/IJCRT2201541.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: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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