IOT Black Box Detects Accidents

BANGALORE TECHNOLOGICAL INSTITUTE
Department of Computer Science & Engineering
Project Phase-1
Review - 1
“IOT BASED DESIGN & IMPLEMENTATION OF BLACK BOX USING ACCELEROMETER ”
By
ASIYA BANU P 1BH19CS010
KUKY MATHEMA 1BH19CS045
LAVANYA D R 1BH19CS048
MILANA 1BH19CS056
Under The Guidance Of
Asst Prof .Rajshekar A
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
(Iso 9001:2015 Certified Institute)
Sarjapur Road, Kodathi, Bangalore-560035

CONTENTS
 Abstract
 Introduction
 Literature survey
 Existing system
 Proposed system
 Objectives
 Architecture diagram

ABSTRACT
Vehicle accident is a major public problem in many countries. Due to rider's
poor behaviors, Vehicle bad condition, bad weather situation and opposite vehicle
mistakes. To predict those situations block box concept is introduced. The concept of
the Car Black Box is similar to the Flight block box concept, which is stores the
vehicle condition such as engine temperature, speed, CO2 content. The automatic
speed controller to avoids crashing between the vehicles. A low cost system which
provides solution to the existing automotive control systems. Also monitors the vehicle
current condition on display of LCD.
To find out the accident and spot at any location and intimating to hospital or
family member through GSM as well as vehicle temperature monitoring. Monitoring
the vehicle’s conditions and other features. Providing the following contribution to
detecting traffic accidents via microcontroller and stores the values of GPS, sensor
values and time of accident occurred etc.

INTRODUCTION
 In this modern, fast moving and insecure world, it become elementary need to be
aware of one’s safety. Maximum risks occur in situations where in an employee
travels for money relations. The Company to which he belongs should be aware if
there is some difficulty.
 If the person traveling can be tracked and also secured in case of an emergency. A
system that functions as a tracking and a security system. An intelligent vehicle
control for critical remote location application. Can deal with both pace and security.
 GPS module receives the information from the GPS satellite in NMEA (National
Marine Electronics Association) format and thus it reveals the position information.
 When auto crash occurs suddenly, the reaction of the emergency services now
becomes race between life and death.
 In this we are trying to incorporating a report occurrences of accidents via GSM
communication platform to the nearest agencies such as hospitals, police stations,
and fire services and so on.Giving the exact position of the point where crash has
occurred.
 The numbers of death and disability are very high because of late assistance to
people those who got through the accident. As most of the vehicles only have a
tracking system.

LITERATURE SURVEY
SL.
NO
PAPER
TITLE
YEAR AUTHOR DESCRIPTION
1 Detection of
black box
signal based on
encoder-
decoder fully
convolutional
networks
2020 Huazhong
Ji;
JieZhou;
Xiang Pan
As a logger of aircraft data, An underwater acoustic beacon
was installed in the black box to deal with the black box
positioning problem in the air accident at sea. in the field of
pixel-level image classification, an encoder-decoder
network with skip connection layers, called “Unet”, is
proposed to enhance the underwater acoustic beacon signals
represented by (STFT) images. The experimental data show
that the enhancement method based on FCN has higher
signal gain than the conventional method based on adaptive
line enhancer (ALE).
2 Black-box
System
Identification
of CPS
Protected by a
Watermark-
based Detector
2020 Khalil
Guibene;
Marwane
Ayaida;
Lyes
Khoukhi;
Nadhir
MESSAI
In this paper, we demonstrate that black-box system
identification using Support Vector Regression (SVR) can
be used efficiently to build a model of a given industrial
system even when this system is protected with a
watermark-based detector. First, we briefly describe the
Tennessee Eastman Process used in this study. Then, we
present the principal of detection scheme and the theory
behind SVR. Finally, we design an efficient black-box SVR
algorithm for the Tennessee Eastman Process.

LITERATURE SURVEY
SL.
NO
PAPER
TITLE
YEAR AUTHOR DESCRIPTION
3 Blackbox
System for
Car Accident
Analysis
2021 Chitra T C;
Sangeetha M;
Sanjay Kumar
K;V R
Sriganesh;
Sujith Ramesh
According to the World Health Organization (WHO), more
than thousands of people lose their lives from road
accidents and nearly twenty percent of these occur in
remote areas. The Blackbox project is used to monitor the
real time values of the sensors and determine the
occurrence of accidents. It also analyzes the cause, time,
location of the accident making it possible for the
emergency service to reach out for the victim as soon as
possible.
4 Accident
Detection and
Road
Condition
Monitoring
Using
Blackbox
Module
2022 Insan Arafat
Jahan; Insan
Arafat Jamil;
Mohammad
Shakhawat
Hossain
Fahim;
Armana
Sabiha Huq;
Fahim Faisal;
The mentioned module equipped with different sensors can
record important parameters of road as well as the overall
condition of the road while simultaneously being capable
of properly detecting the occurrence of a road collision.
The ‘BlackBox’ module can map and record the data of a
certain road’s condition which can be matched with the
available accident data of that particular location saved on
a database. Based on the data, alert can be provided to the
concerned for accident prone locations.

EXISTING SYSTEM
 Post accident detection system due to Lack of intelligence in the detection system.
Vehicles like cars and bikes are lacking a black box system.
 Lack of systematic control make it very difficult for the investigator to detect with
factors. Many campaigns have been conducted by the people for the awareness.
 Post accident detection system due to Lack of intelligence in the detection system.
Also numbers of death and disability are very high because of late assistance to
people those who got through the accident.
 In existing system most of the vehicles associate only tracking system. Presently
tracking system is introduced in vehicles to save peoples life.
 Everyday many road accidents occur due to vehicle condition negligence. The
accident data is not stored in any device for analysis and references.

PROPOSED SYSTEM
 Pre accident detection, Tracking of collision, Intelligent system
 Arduino Uno is used as the main controller board. Accelerometer is used for
detecting vehicle accident. Accelerometer will check the three axis of the vehicle
accident occurred or not.
 Gas sensor is used to detect alcohol consumption. If the temperature goes beyond
particular value, then the engine of the vehicle stops immediately.
 GPS module will receive latitude and longitude coordinates from the satellite.
Sending alert messages is done by GSM module. IOT cloud is used as black box for
recording data from the Arduino board through a internet connection.
 The LCD display was used to display the GPS values and the sensor values. The
coding was written in embedded C language and compile using Arduino IDE.

OBJECTIVES
The mentioned module equipped with different sensors can record important parameters
of vehicle as well as the overall condition of the vehicle while simultaneously being
capable of properly detecting the occurrence of a road collision.
The objectives of this paper are:
 To study and investigate the basic operation of the GPS, GSM module.
 To design and develop the Temperature and Accident alerting system.
 To come with my own hardware of vehicle monitoring and GPS/GSM tracking
system.
 Using IOT cloud technology to record sensor data as a black box.
 To design and develop Black Box vehicle monitoring and tracking by Messaging
System Using GPS and GSM Modules.
 To introduce an approach with a ‘BlackBox’ system that serves purposes
simultaneously to reduce the number of accidents.

ARCHITECTURE DIAGRAM
ACCELEROMETER
TEMP
SENSOR
ALCOHOL
SENSOR
GPS
MODULE
POWER
SUPPLY
ARDUINO
UNO
GSM
MODULE
LCD
DISPLAY
DC
MOTOR
BUZZER
IOT
CLOUD
Wi-Fi
MODULE

IOT Black Box Detects Accidents

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