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ACCIDENT
DETECTION
SYSTEM
BY-
ARISHA AFTAB
SNEHA NIGAM
CONTENTS
- Introduction
- Hardware required
- Software required
- Approach and Methodology
- Block Diagram
- Advantages
- Conclusion
- References
ODUCTION
 As there is increase in population day by day, the number of accidents
is also increasing. Around 80 percent of accidents contribute to loss of
life day by day. The reason behind this is lack of traffic control and
accident management.
 The main purpose behind the implementation of accident management
system is to reduce the loss of human life and other valuable goods
during the accident .
It is based on IOT(internet of things)
HARDWARE REQUIREMENTS
Arduino mega 2560
Accelerometer ADXL335
Connecting wires
LCD
Battery
SOFTWARE
REQUIREMENT
GPS module
GSM module
APPROACH AND METHODOLOGY
The proposed system uses the Arduino Mega microcontroller as a processing
unit that collects the data from different sensors and processes it. One GSM
module is connected with the Arduino board to send the message notification
to a particular contact number. Apart from all these we are using one GPS
module to find the location of the device during the accident. This device is
also connected with the Arduino mega board. 9-volt dc battery is used to
provide power supply to the Arduino and GSM modules individually. All these
devices are working continuously without any manual interference. When the
vehicle encountered an accident. The vehicle will tilt with some axis. Since the
device is fitted inside the vehicle on any flat surface, it will also tilt with the
vehicle during the accident. At the same point of time the proximity sensor will
recognize the change in the angular orientation of the axis, and it starts
sending the data to the Arduino. The Arduino will process the new axis
changed during the accident and if it found any changed in the original axis
provided in the code then it will trigger the GSM and GPS Module for further
action
BLOCK DIAGRAM OF VECHILE UNIT
ADVANTAGES
• TO PREVENT THE SEVERE INJURIES DURING ACCIDENT.
• DETECT THE LOCATION OF THE ACCIDENT PLACE.
• THIS SYSTEM CONTAINS TWO MODULES-
-PREVENTION
-DETECTION
• it is a alert system which is used to give alert to
the family and medical services after the
accident.
CONCLUSION
 The proposed system is developed to provide the
information about the accident occur and the location
of the accident. It helps to easily provide the
assistant and help to the victim of the accident. This
system uses GPS module to locate the vehicle. GSM
is used to provide the information of accident. The
results of the proposed systems are satisfactory.
[1] R Kaviya, R Valarmathi, “Intelligent accident detection and ambulance rescue system”, IC3IOT
FEBRAUARY-2018.
[2] Kiran Sawant, Imran Bhole, Prashant Kokane, Piraji Doiphode, Yogesh Thorat, “Accident alert
and vehicle tracking system”, IJIRCCE MAY05-2015
[3] Vardhini Radhakrishnan, “Smart vehicle accident detection system”, IJSER MARCH-2018.
[4] Vignesh M, M Ishwarayya Niranjana, “Automatic accident detection, ambulance rescue and
traffic signal controller, IJSTE MARCH-20
[5] Shivaraman Karthikeyan, Shreyas ramachandran, “Smart summoning of ambulance during
vehicle accidents”, ICGCIOT AUGUST-2018
REFERENCES
THANK YOU

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ACCIDENT MANAGEMENT SYSTEM USING IOT.pptx

  • 2. CONTENTS - Introduction - Hardware required - Software required - Approach and Methodology - Block Diagram - Advantages - Conclusion - References
  • 3. ODUCTION  As there is increase in population day by day, the number of accidents is also increasing. Around 80 percent of accidents contribute to loss of life day by day. The reason behind this is lack of traffic control and accident management.  The main purpose behind the implementation of accident management system is to reduce the loss of human life and other valuable goods during the accident . It is based on IOT(internet of things)
  • 4. HARDWARE REQUIREMENTS Arduino mega 2560 Accelerometer ADXL335 Connecting wires LCD Battery
  • 6. APPROACH AND METHODOLOGY The proposed system uses the Arduino Mega microcontroller as a processing unit that collects the data from different sensors and processes it. One GSM module is connected with the Arduino board to send the message notification to a particular contact number. Apart from all these we are using one GPS module to find the location of the device during the accident. This device is also connected with the Arduino mega board. 9-volt dc battery is used to provide power supply to the Arduino and GSM modules individually. All these devices are working continuously without any manual interference. When the vehicle encountered an accident. The vehicle will tilt with some axis. Since the device is fitted inside the vehicle on any flat surface, it will also tilt with the vehicle during the accident. At the same point of time the proximity sensor will recognize the change in the angular orientation of the axis, and it starts sending the data to the Arduino. The Arduino will process the new axis changed during the accident and if it found any changed in the original axis provided in the code then it will trigger the GSM and GPS Module for further action
  • 7. BLOCK DIAGRAM OF VECHILE UNIT
  • 8. ADVANTAGES • TO PREVENT THE SEVERE INJURIES DURING ACCIDENT. • DETECT THE LOCATION OF THE ACCIDENT PLACE. • THIS SYSTEM CONTAINS TWO MODULES- -PREVENTION -DETECTION • it is a alert system which is used to give alert to the family and medical services after the accident.
  • 9. CONCLUSION  The proposed system is developed to provide the information about the accident occur and the location of the accident. It helps to easily provide the assistant and help to the victim of the accident. This system uses GPS module to locate the vehicle. GSM is used to provide the information of accident. The results of the proposed systems are satisfactory.
  • 10. [1] R Kaviya, R Valarmathi, “Intelligent accident detection and ambulance rescue system”, IC3IOT FEBRAUARY-2018. [2] Kiran Sawant, Imran Bhole, Prashant Kokane, Piraji Doiphode, Yogesh Thorat, “Accident alert and vehicle tracking system”, IJIRCCE MAY05-2015 [3] Vardhini Radhakrishnan, “Smart vehicle accident detection system”, IJSER MARCH-2018. [4] Vignesh M, M Ishwarayya Niranjana, “Automatic accident detection, ambulance rescue and traffic signal controller, IJSTE MARCH-20 [5] Shivaraman Karthikeyan, Shreyas ramachandran, “Smart summoning of ambulance during vehicle accidents”, ICGCIOT AUGUST-2018 REFERENCES