3. UJRRA_23_26(B).pdf

UJRRA │Volume 2│Issue 1│Jan-Mar 2023 Page | 28
ACCIDENT DETECTION SYSTEM WITH GPS, GSM, AND
BUZZER
1*
Muhammad Ahmad Baballe, 2
Aminu Ya’u, 3
Sirina Farouk Ibrahim, 4
Abdulmuhamin Muhammad,
5
Naja’atu Kabir Mustapha
1,4,5*
Department of Computer Engineering Technology, School of Technology, Kano State Polytechnic,
Kano, Nigeria, 2,3
Department of Architecture, School of Environmental Studies Gwarzo, Kano State Polytechnic,
Kano, Nigeria.
ABSTRACT
With vehicles becoming increasingly affordable, there has been a surge in the number of vehicles
on the roads on an average all over the world. The swift development of technology and
infrastructure has made our lives easier nowadays. The initiation of technology has likewise
increased the traffic hazards and road accidents take place regularly, which causes massive loss of
life and property because of the poor emergency facilities. Accidents bring devastation upon
victims, causing the loss of precious time and money. It has been established, after extensive
research, that a majority of accidents become fatalities because of a lack of communication to the
concerned medical authorities and the consequent lack of immediate medical support. An
accelerometer can be used in this research as a rollover or crash detector of the vehicle during and
after a crash. Likewise, the vibration sensor can be used in research in order to check the vibration
rates of any car. By monitoring the information from the accelerometer and the vibration sensor, a
severe accident can be recognized. It then sends the alert message through the GSM Module,
including the latitude and longitude data provided by the GPS module, to the police control room,
any rescue team, or to the car owners. So, the police can immediately trace the location where the
accident has occurred and necessary action can be taken after receiving the emergency message.
This system can prove to be a lifesaver in isolated areas where an accident has occurred and no
one is around in order to report the accident. Through this system, an accident can be detected and
a life can be saved by the quick response from the emergency services.
Keywords: Accelerometer sensor, Vibration sensor, Arduino Uno, GSM Module, LCD, and
Buzzer.
CORRESPONDING AUTHOR
Name: Muhammad Ahmad Baballe
Affiliation: Department of Computer Engineering Technology, School of Technology, Kano
State Polytechnic, Kano, Nigeria
Email: mbaballe@kanopoly.edu.ng
TMP UNIVERSAL JOURNAL OF RESEARCH AND REVIEW ARCHIVES
VOLUME 2 │ISSUE 1│YEAR 2023│JAN - MAR 2023
RECEIVED DATE REVISED DATE ACCEPTED DATE
01/11/2022 28/12/2022 25/01/2023
Article Type: Research Article Available online: www.tmp.twistingmemoirs.com ISSN: 2583-7214

ACCIDENT DETECTION SYSTEM WITH GPS, GSM, AND BUZZER
INTRODUCTION
Vehicles have great importance in our daily lives today. We utilize them to go to our workplaces,
keep in touch with our friends and families, and deliver our goods. But it can likewise bring
disaster to us and even kill us through accidents. Speed is one of the most important and basic risk
factors in driving. It not only affects the severity of a crash but also increases the risk of being
involved in a crash or accident. Despite the many efforts made by various non-governmental and
governmental organizations all around the world through various programs to create awareness
against careless driving, accidents are still taking place every now and then. However, many lives
could have been saved if the emergency services could have gotten the crash data in time. This
will aid in the detection and alert of the accident, potentially saving the lives of the injured. This
system could be used to deal with accidents in remote areas where no one is available to report
them. The usage of vehicles has increased linearly over the past era, which has increased the risk
of human life. This is due to the inadequate emergency facilities. Consequently, in order to
overcome this situation, we are using an alert system that aids in improving the emergency system
of the accident system. The system detects the accident occurrence and the co-ordinates of the
accident, i.e., the longitude and latitude of the location, are messaged to the rescue team. When
there is an unexpected acceleration in the accelerometer and a severe change detected by the
vibration sensor, the system will consider it an accident. Henceforth, it will alert the GSM and
GPS modules, which will further detect the location and send a message indicating the accident
with the location where it has occurred. This research aids in providing a feasible solution to the
poor emergency it enables. The existing system mostly focuses on the safety of the passenger but
not on the immediate help after an accident. The system implemented by us aims at automatically
detecting an accident and alerting the nearest hospital or medical services about the exact location
of the accident. Within seconds of an accident, this system sends basic information to the medical
rescue team. This device can detect accidents and send an alert message to rescue teams in
significantly less time, which will help in saving the lives of people. The alert message contains
the geographical coordinates, time, and angle in which the accident has occurred. When an
accident occurs, it is detected with the help of a sensor that activates the device. The sensor gives
its output to the microcontroller. The microcontroller sends the alert [1]. Nowadays unmanned
aerial vehicle (UAV) is an attractive idea in the aeronautical field, which is used in almost all the
fields. The ultra-light UAVs are meant to perform complex makeovers in the combat field as they
give better performance compared to the others. Due to this fact, the usage of UAVs is getting
more and more important in both the commercial fields and combat, with the capability to do
tasks at a feasible cost. They can also be used in the tracking of accidents in vehicles [12].
Fig. 1: System Block Diagram

LITERATURE REVIEW
In this system, the Arduino Uno is used as a microcontroller that controls the whole research. It
also includes components like infrared sensors and LEDs. It uses two IR sensors placed on the
side of the road. These sensors are mutually exclusive and are connected to microcontrollers
(ATmega328P) through wires. Based on the output of sensors, the position of the vehicle is
detected, which is provided as an input to the microcontroller. And then LEDs placed on either
side warn the drivers, thus controlling the movement of vehicles at the bend. In this research, a
vibration sensor is used to detect an accident with an Arduino as the microcontroller. It also
includes components like the GSM module and GPS module. The vibration sensor and GPS
module work together to give information to the Arduino, which in turn sends the information to
the GSM module. It proposes to have Bluetooth or Wi-Fi networks in a set of clusters across the
street to identify the user by a unique MAC address to identify drivers from their Smartphone
application. When the vibration sensor detects the accident, the GPS module works in sync with it
and provides the latitude and longitude details of the accident area. This information, when sent to
the GSM module, is sent to other drivers connected to Wi-Fi in a 20-meter radius. In this research,
the Arduino Uno is the heart of the system, which aids in moving the message to different devices
in the system. The vibration sensor will be activated when the accident occurs and the data will be
transferred to the registered number through the GSM module. Using GPS, the location can be
sent through a tracking system to cover the geographical coordinates of the area. An accident can
be detected by a vibration sensor, which is used as a major module in the system. It can be
extended by providing medication to the victims at the accident spot. By increasing technology,
we can also avoid accidents by providing alert systems that can stop the vehicle to overcome
accidents. The vibration sensor used in the research senses the obstacle, and then it sends an
interruption to the Raspberry Pi. The GPS module receives the location of the vehicle that was in
an accident and gives the data back. This information will be sent to a mobile number through a
WhatsApp message. The Raspberry Pi interfaces to the GPS modem via the internet and an
L293D Motor Driver, which allows the voltage to be flown in both directions. We can monitor the
speed of the vehicle and can find its location. Remote data alert message sent to mobile phone
Mobile numbers can be changed at any time. This system can be interfaced with a vehicle airbag
system that prevents vehicle occupants from striking interior objects such as the steering wheel or
window [1]. This system aims to alert the nearby medical center about the accident to provide
immediate medical aid. The attached accelerometer in the vehicle senses the tilt of the vehicle,
and the heartbeat sensor on the user’s body senses the abnormality of the heartbeat to understand
the seriousness of the accident. Thus, the systems will make the decision and send the information
to the smartphone, connected to the accelerometer and heartbeat sensor, through Bluetooth. The
Android application on the mobile phone will send text messages to the nearest medical center
and friends. The application also shares the exact location of the accident, which can save time
[2]. This application helps sense the possible occurrence of an accident on the road with the help
of sensors attached to the vehicle. This occurrence will be immediately communicated to the
concerned people so that further action can be taken without any further delay [3]. This paper
proposes a real-time accident detection and alerting system that uses smartphones. Every
smartphone has a number of sensors embedded in its design. Our system makes use of a few of
these commonly available sensors across all smartphones to build a web application for remote
monitoring. The system will provide victims with a faster response time in locating and
mobilizing emergency services. When the system detects an accident, it alerts the nearest
emergency station like police administration, healthcare service, and ambulance operators of the
same. It also provides real-time tracking for these emergency service providers [4]. The proposed
system will check whether an accident has occurred and notify the nearest medical centers and
registered mobile numbers about the place of the accident using GSM and GPS modules. The
location can be sent through a tracking system to cover the geographical coordinates over the
area. An accident can be detected by a vibration sensor, which is used as a major module in the
system [5]. Our proposed system consists of two phases; the detection phase, which is used to
detect car accidents with location; and the notification phase, which will notify the respondents or
rescue team. We will also add a "HELP ME" button that will be used in an emergency situation

other than an accident (like being stuck in bad circumstances or having an attack of medical
disease etc.). In the case of using this button, a predefined message will be sent to the appropriate
responder [6]. In this research, an intelligent accident detection system has been developed to
detect accidents on the road. Intelligent accident detection involves location tracking as well as
notification systems that detect accidents immediately through GPS location. The sensor
connected to the vehicle gets activated in the case of any accident. Phone calls and notification
messages will be sent to the nearby hospital, police station, and family members through the
Global System for Mobile Communication GSM [7]. The research aims at finding the vehicle
where it is and locating the vehicle using a computer within the vehicle's system to send a
message. Most of the time, we might not be able to locate the accident because no one knows
where it will take place. Our Real-Time Vehicle Tracking and Accident Detection project with
GPS is designed to avoid these circumstances [8]. A Vehicle Accident Emergency Alert system is
proposed for immediate attention, which could save their lives. As soon as an accident occurs, the
vibration sensor or the accelerometer present in the system transmits the signals to the Arduino
controller. The GPS system collects latitude and longitude data, which is then transmitted to the
emergency center via the GSM module and sent as a text message to everyone on the emergency
list. Getting the exact location would help the ambulance reach the spot with the shortest route
and time. The proposed alert system could be implemented with less cost and incorporated into all
vehicles in the near future so that the rate of life-loss could be minimized [9]. The system consists
of a microcontroller, GPS, and a group of sensors to determine different physical parameters
related to vehicle motion. In addition, different types of machine learning classifiers were
examined with the developed system to determine the most accurate classifier for the system. The
classifiers are the Gaussian Mixture Model (GMM), Naive-Bayes Tree (NB), Decision Tree (DT),
and Classification and Regression Trees (CART). The implementation of the system showed that
GMM and CART models were better in terms of precision and recall. It was also shown that the
severity of accidents depends mainly on the g-force value and fire occurrence [10], [11], [12].
MATERIAL AND METHOD
POWER SUPPLY UNIT
In this unit, the battery 12V served to supply DC voltage to the regulator IC 7809, and the output
of this IC regulated the voltage constant at 9V for the remaining part of the circuit shown in figure
2.
Fig. 2: Power supply unit circuit
INTERFACING ARDUINO TO BUZZER
The ground of the buzzer is connected to the ground of the Arduino and the positive terminal of
the buzzer is connected to the Arduino digital pin 4 [Fig-3].

Fig 3: Interfacing of the Buzzer to Arduino
INTERFACING ARDUINO TO LCD
The LCD is connected to the Arduino by attaching its four data pins D4, D5, D6, and D7 to PIN
2. 3, 4, 5, 11, and 12 of the Arduino respectively. The register select pin is attached to PIN 7 of
the Arduino, and the enable pin of the LCD is also connected to PIN 8 of the Arduino. The LCD
operates on 5v. Its contrast is adjustable. The LCD contrast is adjustable via PIN 3. The Contrast
adjustment is taking place through a variable resistor [Fig- 4, 5, 6(a), (b), 7, 8, 9, 10].
Fig. 4: Arduino to LCD Interfacing

Fig. 5: The interfacing of the GSM Module to Arduino
Fig. 6(a): Complete circuit diagram

Fig. 6(b): Implemented circuit

Fig. 7: Tittle of the Research
Fig. 8: Accident Detected
Fig. 9: Sending SMS to the registered mobile number
Fig. 10: Message sent to the registered mobile phone

CONCLUSION
The Vehicle Accident Alerting and Detecting System could be a safer system, saving
approximately two-thirds of the lives lost in dangerous road accidents, particularly in remote areas
with low human activity. The GPS tracker attached to the system gives information about the
exact geographical location that could specify the latitude and longitude. The SMS alert is
immediately sent to nearby hospitals, ambulances, and police stations, as well as the victim's
family members. The ambulance could arrive at the accident spot immediately by using the
location details and quick medical help could be provided to the victim involved in the accident.
Thus, a simple way is achieved to reduce the frequency of accidents and immediate alert systems,
a low-cost way to save high-cost lives.
REFERENCES
1. Doshi, B. Shah, J. Kamdar, “Accident Detection and Alert System”, International Journal
of All Research Education and Scientific Methods (IJARESM), Vol 9, No 11, pp. 114-
119, Available online at: www.ijaresm.com, November-2021.
2. N. Kattukkaran, A. George, M. Haridas T.P, “Intelligent Accident Detection and Alert
System for Emergency Medical Assistance”, 2017 International Conference on Computer
Communication and Informatics (ICCCI -2017), Jan. 05 – 07, 2017, Coimbatore, INDIA.
3. R. K. Kodali, S. Sahu, “MQTT Based Vehicle Accident Detection and Alert System”,
International Conference on Applied and Theoretical Computing and Communication
Technology, ISBN 978-1-5386-1144-9, pp. 186-189, IEEE 2017.
4. D. A. Borikar, M. B. Chandak, “Accident Detection and Emergency Alerting System for
Road Safety”, Biosc. Biotech. Res.Comm., Vol 13, No 14, Available at:
http//www.bbrc.in/ Doi: http://dx.doi.org/10.21786/bbrc/13.14/60, pp. 256-259, 29th Dec
2020.
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6. H. M. Shahzadi, H. M. Rafique, Ms. S. Riaz, “Auto Accident Detection and Alert
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8. G. Francis, C. Gottursamy, S. R. Kumar, M. Vignesh, T.P. Kavin, “Accident Detection
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and Classification System Using Internet of Things and Machine Learning towards Smart
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https://www.mdpi.com/journal/sustainability, pp. 1-13, 2022.
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Muhammad, “The Unmanned Aerial Vehicle (UAV): Its Impact and Challenges”, Global
Journal of Research in Engineering & Computer Sciences, Vol. 02, No 03, pp. 35-39,
Journal homepage: https://gjrpublication.com/gjrecs/, May-June 2022.

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