Paper Title

WIRELESS BLACK BOX FOR VEHICLES USING SENSORS AND GSM MODULE

Authors

B.Thanvi Trilochana

Keywords

KEYWORDS: Vehicle Black Box, Sensors, Arduino, Alcohol sensor, Temperature sensor, Vibration sensor, Potentiometers, GSM, GPS, SD Card.

Abstract

ABSTRACT: The main purpose of this wireless black box project is to develop a vehicle black box system that can be installed into any vehicle all over the world. This paradigm is often designed with minimum range of circuits. Wireless black box is basically a device that will indicate all the parameters of a vehicle crash and will also store the data in SD Card and display its parameters of every three second such as date, time, temperature, location, vibration, alcohol limit etc. when the time of accident, the message will be sent from the system built inside the car to the registered mobile numbers such as emergency numbers of police stations, hospitals, family members, owner etc., We have used various types of sensors like temperature sensor. Vibration sensor measures vibrations felt by the car during accident. Alcohol sensor is located on the steering wheel which will indicate whether the driver is drunk. Potentiometers which is used to indicate the speed of the car during the accident. All these parameters sensed by the sensors will send the signal to the Arduino Uno.

How To Cite

"WIRELESS BLACK BOX FOR VEHICLES USING SENSORS AND GSM MODULE", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d776-d781, March-2023, Available :https://ijnrd.org/papers/IJNRD2303400.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : d776-d781

Other Publication Details

Paper Reg. ID: IJNRD_189620

Published Paper Id: IJNRD2303400

Downloads: 000118838

Research Area: Electronics & Communication Engg. 

Country: visakhapatnam., andhra pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303400

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303400

About Publisher

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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