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an IoT based automated accident alert system
1. JYOTHY INSTITUTE OF TECHNOLOGY
Tataguni, Bangalore-82
Department of Information Science &Engineering
Accredited by National Board of Accreditation(NBA)-New Delhi
PROJECT PHASE-II 18CSP83
An IoT based- automated accident alert system: a simulation
Presented By: Gopika V Pillai – 1JT19IS009 Under the guidance: Prof. Rakshatha S
Priyanka R -1JT19IS034
Sahana C – 1JT19IS041
Sandhya H – 1JT19IS042
PROJECT PHASE -I
2. INSTITUTION
VISION & MISSION
Vision of the Institution :
To be an institution of excellence in Engineering education, Innovation and Research and work towards
evolving great leaders for the country’s future and meeting global needs.
Mission of the Institution :
The Institution aims at providing a vibrant, intellectually and emotionally rich teaching learning environment
with state of art infrastructure and recognizing and nurturing the potential of each individual to evolve into
one’s own self and contribute to the welfare of all.
3. Information Science and Engineering
VISION AND MISSION
Vision of the Department:
To be a Department of excellence for education in Information Science and Engineering, innovation, research
and work towards empowering students for professional competence and entrepreneurial skills.
Mission of the Department:
M1: To provide state of the art infrastructure with modern and innovative teaching methodology.
M2: To encourage and nurture collaborative and interdisciplinary projects that aid academic and industrial
research.
M3: To promote activities to inculcate ethical practices and entrepreneurial skills.
4. TABLE OF CONTENTS
PROJECT PHASE -I
Serial Number Title
01 Abstract
02 Objective
03 Flow chart
04 Modules Implemented
05 Deviation from the base paper
06 Team work
07 Achievements
08 References
5. ABSTRACT
PROJECT PHASE -I
Accidents can be dangerous and costly events, with the potential to cause harm to people and damage to
property. An IoT - based accident detection system aims to reduce the impact of accidents by detecting and
reporting them in real-time, enabling emergency services to respond more quickly and effectively. The
system uses a variety of sensors and devices to detect accidents and transmit alerts to a central control center
or directly to emergency services. It can also collect data on the causes of accidents, helping to identify
trends and implement preventative measures. By improving response times and safety, an IoT-based accident
detection system has the potential to save lives and reduce costs associated with accidents. The goal of an
IoT-based accident detection system is to minimize the negative impacts of accidents through real-time
detection and reporting. By using a range of sensors and devices, the system is able to identify accidents as
they occur and alert emergency services to the location and severity of the incident. In addition to improving
response times and safety, the system can also gather data on the causes of accidents, allowing for the
implementation of preventative measures to reduce the likelihood of future accidents. By utilizing IoT
technology, an accident detection system has the potential to save lives, reduce costs, and improve overall
safety.
6. OBJECTIVE
PROJECT PHASE -I
• The primary objectives of an IoT-based accident detection system are to improve response time, safety, and
transportation safety. By using IoT technology to detect accidents in real-time and alert emergency services immediately,
the system can help to reduce the time it takes for help to arrive at the scene, potentially saving lives.
• The system can also help to prevent further accidents from occurring by alerting authorities to the situation and allowing
them to take appropriate action. Additionally, the system can collect data on the causes of accidents to identify trends and
implement preventative measures, reducing the likelihood of future accidents. Finally, by improving response time and
safety, the system can help to reduce the costs associated with accidents and improve overall safety on the roads and
highways.
• An IoT-based accident detection system has a number of objectives, including improving response time, safety, and
transportation safety. By providing real-time information about the location and nature of an accident, the system can
help emergency services to respond more effectively, potentially saving lives.
• The system can also reduce the time it takes for medical care to be provided to victims, improving their chances of
survival. In addition, the system can improve communication between emergency services and hospitals, allowing for
more efficient coordination of resources. By collecting data on the causes of accidents, the system can help to identify
trends and implement preventative measures, such as improving transportation infrastructure and safety measures.
• Overall, the goal of an IoT-based accident detection system is to reduce the negative impacts of accidents, including loss
of life, injury, property damage, and disruption to transportation networks
7. FLOW CHART
PROJECT PHASE -I
Accident
Not
detected
Police
station
Guardian
Sends Exact
location
Ambulance
Hospital
Detected
Accident location
Text and speech
Case file
Sends
Call and message
9. PROJECT PHASE -I
DEVIATION FROM THE BASE PAPER
According to the base paper we have considered, it transmits the location which contains the latitude and longitude where the collision has happened and also it
requires the smartphone application to receive message when collision occurs only to a guardian. In case of our model, it transmits the exact location of the accident
spot and sends call and message to their guardian, text-to-speech message with a call to the concerned party.
Base Paper Our Model
• It transmits the location which includes the
latitude and longitude of the spot.
• It transmits the exact location of the place
where collision has occurred.
• It requires smartphone application to
receive messages.
• It does not require any smartphone
applications in order to receive messages
and call.
• The message was only sent to the guardian. • The message will be sent to their
respective guardian, hospital, police
station.
• Only the message was sent. • Both message and call, along with text-to-
speech will be implemented.
10. PROJECT PHASE -I
TEAM WORK
1. Gopika V Pillai 1JT19IS009
As a team leader overall in charge of the project was done and contributed in the project in the paper works
and equipment details
2.Priyanka R 1JT19IS034
As a team member, the project demonstration and connection regarding work were handled.
3.Sahana C 1JT19IS041
As a team member, the project demonstration and connection regarding work were handled.
4.Sandhya H 1JT19IS042
As a team member, the coding related to the project and paper works were handled.
11. PROJECT PHASE -I
Achievements related to project work so far
1.KSCST Project we had present our project work for the KSCST project this year.
2.NLPC project we had placed our application and got selected for the next level.
3.NES connect we had applied for the project.
ACHIEVEMENTS
12. REFERENCES
PROJECT PHASE -I
1.https://www.te.com/usa-en/products/sensors/position-
sensors.html#:~:text=Position%20sensor%20is%20a%20device,tilt%20and%20fluid%20level%20sensors.
2. https://www.arduino.cc/
3.https://en.wikipedia.org/wiki/GSMmodem#:~:text=A%20GSM%20modem%20or%20GSM,their%20device%20t
o%20the%20network.
[4]https://youtu.be/qCIes_xJdGo
[5] Dr. C. K. Gomathy ,K Rohan ,Bandi Mani Kiran Reddy, Dr. V Geetha "Accident detection and alert system"
Article May 2022 M Pavan Manikanta and Mamatha Samson "IoT based accident detection and rescue system"
2022,Vol,6 No .3,6664-669
[6]Nazia Parveen, Ashif Ali, Aleem Ali." IOT Based Automatic Vehicle Accident Alert System " Oct 30-31,2020
[7] M Pavan Manikanta and Mamatha Samson "IoT based accident detection and rescue system" 2022,Vol,6 No
.3,6664-669
[8]Chokkakula Devi,S.Gowri "An automatic smart phone with loT based accident detection and alerting system"
2021 CEP2IJ88-ART;ISBN;978-1-6654-3524-6