Road traffic injuries are major but neglect a lot of people kill or injured during road accidents & there is no such system (especially in developing countries) which will give us complete report regarding where the accident occurs? Impact of an accident o
Vehicle Accident Detection and Reporting System
Road traffic injuries are major but neglect a lot of people kill or injured during road accidents & there is no such system (especially in developing countries) which will give us complete report regarding
So we are going to design a system which will be helpful for us to solve the above problems, The system will detect the accident and send the details to respond centre, Details will consist of exact location where an accident occurs, The exact side of the vehicle on which accident occur, Severity of the accident and an internal image of the vehicle. The image will help us in identifying the injured passengers and also it will show us the numbers of passengers so ambulance and other facilities will be provided according to the scenario
In this project, Raspberry-Pi and Arduino MEGA are used which is the main part of the project.
When all the doors of the vehicle become close Raspberry-pi will take a picture of onboard passengers and save it in the memory, Raspberry-pi will wait for the accident as the accident occurs it will send all the details of the accident along with the picture of the onboard passenger to the response centre.
How the accident will be detected?
when an accident occurs the force sensor(FSR/ SEN-09375) will give the signal to Arduino, Arduino will fetch data from GPS, Start calculating the severity of accident & detect the exact side of the vehicle on which accident occurs and forward all these details to Raspberry-pi.
A system which will detect an accident and send the details to the respond centre through a mail.
The main equipment which is used in this project is Raspberry-Pi, Pi-Camera, Arduino MEGA, FSR sensors, GPS and accelerometer. When all the doors of the vehicle become closed Raspberry-pi will take a picture of onboard passengers and save it in the memory, Raspberry-pi will wait for the accident as the accident occurs it will send all the details of the accident along with the picture of the onboard passenger to the response centre.
when an accident occurs the force sensor(FSR/ SEN-09375) will give the signal to Arduino, Arduino will fetch data from GPS, Start calculating the severity of accident & detect the exact side of the vehicle on which accident occurs and forward all these details to Raspberry-pi.
The authorized department can access server information via a web portal. Each user has own username and password. So the manipulation of accessing other data very less and the security is very high. The user can retrieve the information in real time as well as offline also. The thing speaks server is using the best-fit algorithm for storing the data. The proposed architecture effectively utilizes the memory space.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry-pi(circuit board) | Equipment | 1 | 15000 | 15000 |
| Arduino | Equipment | 2 | 1800 | 3600 |
| FSR-Sensor | Equipment | 5 | 1500 | 7500 |
| GPS(NEO-7m) | Equipment | 1 | 2500 | 2500 |
| Accelerometer | Equipment | 1 | 250 | 250 |
| Prototype Vehicle | Equipment | 1 | 3000 | 3000 |
| Jumper Wires | Equipment | 3 | 300 | 900 |
| Soldering Iron | Equipment | 1 | 350 | 350 |
| Soldering wire | Equipment | 1 | 250 | 250 |
| Spray | Miscellaneous | 2 | 300 | 600 |
| Camera stand and button | Equipment | 1 | 200 | 200 |
| Pi-Camera | Equipment | 1 | 2000 | 2000 |
| vero boards | Equipment | 3 | 200 | 600 |
| resistors and Led's | Equipment | 30 | 10 | 300 |
| Male/Female wire jack | Equipment | 6 | 40 | 240 |
| Wires connectors | Equipment | 10 | 10 | 100 |
| Arduino Adapter | Equipment | 1 | 300 | 300 |
| Transport | Miscellaneous | 1 | 3000 | 3000 |
| Printing | Miscellaneous | 10 | 100 | 1000 |
| Others | Miscellaneous | 1 | 5000 | 5000 |
| HDMI-VGA converter cable | Equipment | 1 | 1000 | 1000 |
| wifi device with data | Equipment | 1 | 6000 | 6000 |
| USB-TTL coverter | Equipment | 1 | 490 | 490 |
| lipo Battery | Equipment | 1 | 12000 | 12000 |
| Total in (Rs) | 66180 |
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