This document presents a project on developing a smart vehicle accident detection and rescue system using IoT. The system aims to automatically detect vehicle accidents and alert nearby people, hospitals, and police. It also sends location details to help with rescue efforts. The proposed system uses sensors to detect accidents and an IoT module to communicate accident details via a cloud network. If the accident is minor, drivers can press a reset button to avoid alerts. Otherwise, location and vehicle data is sent for emergency response. The system was tested on vehicles and aims to reduce accident fatalities by expediting rescue times.

1. PRESENTED BY
811719104301-Jayasurya S
811719104102-Tamilmannavan S
811719104104-Thangaselvan M
Guided by
Mr.P.Matheswaran.,M.E.,(Ph.D)
Assistant professor(CSE)
KRCT
K.RAMAKRISHNAN COLLEGE OF TECHNOLOGY
(AUTONOMOUS), TRICHY
Smart Wheels: Revolutionizing Road Safety with IoT-
Based Automatic Vehicle Accident Detection and Rescue
System

2. PRESENTATION OVERVIEW
 Problem Identification
 Objective
 Abstract
 Existing system
 Block diagram of existing system
 Disadvantages of existing system
 Proposed system
 Block diagram of proposed system
 Explanation of proposed system
 Advantages of proposed system
 Results and Discussion
 Snapshot of hardware results
 Conclusion
 Conference participation proof/Journal publication proof.

3. 2/7/20
 Whenever accident being met, the nearby people call the ambulance.
 The problem associated with this is that the victims depend on the mercy of
nearby people.
 There is a chance that there are no people nearby the accident spot or people
who are around neglects the accident.
 This is the flaw in the manual system.
PROBLEM IDENTIFICATION

4. OBJECTIVE
 To monitor the accident and provide suitable information through Internet of
things.
 To record black box like investigation system in automobiles.
 To alert nearby people for inform to hospital, Police and relations
 To analyse the cause of accident and provide suitable information for future
investigations.
 To alert the occurrence of incident and thereby providing timely help.
 To alert the status of the vehicle based on the maintenance via sensors
thereby preventing life loss.

5.  Traffic in our country is increasing day by day. Many people are not giving a good response for
the traffic rules in many places.
 Mainly accidents happen due to over speed and careless driving. Especially, in the school and
the college zone, people are hesitating for decreasing the speed to its limit.
 This is embedded project to indicate the over speed and to control the vehicle in the over speed
condition. This is constructed with the wireless communication.
 We are using PIC16F877A which is Programmable IC microcontroller.
 In our system accident information system will alert vehicle owner relative or nearby hospital
through IoT with the accident location using GPS.
 If the accident is a minor one then driver can press the reset switch and drive normally.
 Accelerator, brake clutch indicate the position of accelerator, brake clutch respectively. We can
monitor and control all with the help of IoT module.
ABSTRACT

6. Literature Survey
2/7/20

7. 2/7/20

8.  To this end, this paper deeply analyzed the risk propagation mechanism between vehicles and proposed a
novel secondary rear-end collision accident risk propagation model, which could real-time evaluate vehicle
rear-end collision risk.
 Then, the risk eld force is converted into risk probability through the hyperbolic tangent function, and the
vehicle operation interaction risk model is obtained.
 In addition, a risk propagation framework based on dynamic Bayesian network is constructed to describe the
propagation process of rear-end collision risk from the accident vehicle to following vehicles.
 Finally, according to the probabilistic reasoning process of the framework, combined with the accident
vehicle risk, a secondary rear-end collision accident risk propagation model is established.
 Simulation experiments show that the paper model can describe the evolution trend of rear-end risk and the
risk assessment results are more accurate. And after the accident, the rear-end collision risk propagation
speed will increase with the increase of traffic low, and the number of secondary rear-end vehicles will also
increase with the increase of traffic speed.
EXISTING SYSTEM
BLOCK DIAGRAM

9. 2/7/20
EXISTING SYSTEM
BLOCK DIAGRAM

10. DRAWBACKS
 Does not include real-time monitoring.
 Designed mainly for four wheelers
DISADVANTAGES OF EXISTING SYSTEM

11.  In this project we are using accident detection unit which fitted the vibration sensor in the vehicle.
 In case of accident, occurs if the vehicle is hit to some other vehicle or an object it create some vibration in
that case then the vibration sensor will detect the vibrating signal and it pass the data to the PIC controller.
 PIC (16F877A) Microcntroller is used as a Central Processing Unit (CPU) of our project.
 When the PIC (16F877A) Microcontroller receives a signal from vibration sensor it immediately pass the
data to IoT through the cloud.
 In this project we used reset button it will be used by the driver if the accident is very normal in case the
driver hit the wall in some situation like parking then the driver will press the reset button this will inform the
PIC controller will not send GPS location.
 But if the driver is not in a situation to press the switch or if the accident is really a major accident then the
driver will not press the reset button and then the system will send the current location of vehicle to the IoT.
 Here, we use GPS modem to send location of vehicle to the family members and the rescue team. Buzzer is
also used to indicate as a accident has been occurred which will create a beep sound.
 Thus the life of a person who met with an accident has been identified and save their life too.
 And finally Accelerator, brake clutch indicate the position of accelerator, brake clutch respectively. We can
monitor and control all with the help of IoT module.
EXPLANATION OF PROPOSED WORK

12. PROPOSED SYSTEM
BLOCK DIAGRAM

13.  We can monitor the speed of the vehicle.
 We can find the location of the vehicle.
 Alert message to mobile phone for remote information.
 It is used to vehicle accident evidence and is useful to found victim easily without human intervention
 It is mainly used as a tracking device and we can monitor driver rash driving behavior
ADVANTAGES OF PROPOSED SYSTEM

14.  The proposed system uses the IoT for vehicle accident detection and alarming the authorities regarding
accidents, vehicle tracking using GPS Modem. In this project we have designed IoT based vehicle accident
detection and tracking system using GPS Modem
 The main purpose of this system is to increase the chances of life of a person met with an accident. This device
helps the paramedics to reach to the accident location with in the minimum time frame as it provides the alert
message as soon as the accident occurs. So, it also helps in minimizing the communication delay and the person
met with the accident can be treated timely. It plays a very important role in identifying the accident locations
that occurs in midnights. ESP8266 -12E NODE MCU is the heart of the system which helps in sending data to
cayenne cloud server and cayenne app/webpage
 By using this system we can reduce the death occurs due to late help after the accident
 This device is used to used as a evidence of the vehicle details about accelerator, brake failure and clutch
position, speed of the vehicle and GPS location are stored and viewed by particular higher authority to found
mistake of the vehicle neither or by opposite vehicle driver.
 This paper is proposed to detect and rescue the system from accidents. The database supplies accident data.
Once the accident occurred the alert message is sent to one of the contact person and nearby hospital and nearby
police station with location. Message sent via WI-FI network is the accident occurring. The scheme was tested
with automobiles in real world applications. There will be no false alert message about the test results
Result and Discussion

15. Results and Discussion

16.  This paper is proposed to detect and rescue the system from accidents. The database supplies accident data.
Once the accident occurred the alert message is sent to one of the contact person and nearby hospital and nearby
police station with location. Message sent via WI-FI network is the accident occurring. The scheme was tested
with automobiles in real world applications. There will be no false alert message about the test results
Conclusion

17.  SRI SAI REC-SRI SAI RENGANATHAN ENGINEERING COLLEGE
 INTERNATIONAL CONFERENCE ON INNOVATIVE ENGINEERING
AND INFORMATION TECHNOLOGY
 ICIEIT’2K23
Conference participation proof/Journal
publication proof.

18. THANK YOU