This Presentation and project is created by Shanjedul Hassan Every day around the world, a large percentage of people die from traffic accident injuries. An influential indicator of survival rates after detecting the accident is the time between the occurrence of the accident and the arrival of emergency responders to the scene. Reductions in this time, in turn, may affect the numbers of fatalities, and this is achieved through using automatic traffic accident detection and notification systems which are either built-in the modern vehicles or available in the roads. This thesis highlights the state of arts for the existing automatic traffic accident detection and notification systems and reviews smartphone's interesting features that are motivated the researchers to develop smartphone based accident detection and notification systems, to provide an efficient solution in case the lack, complexity, cost, and the maintenance of other automatic accident detection systems. Most of the smartphone-based accident detection systems rely on the high speed of the vehicle (extracted from the smartphone GPS receiver) and the G-Force value (extracted from smartphone accelerometer sensor) to detect an accident. As many references assure that 90% of road- traffic accidents occur at low speed of the vehicle. Hence, in addition to the high-speed accident detection, this thesis concentrated on low speed car accident detection. The main obstacle that encounters the low speed accident is how to differentiate whether the user is inside the vehicle or outside the vehicle walking or slowly running. The effect of this obstacle is considerably minimized, in this work, by a proposed mechanism that distinguishes between the speed variation of low speed vehicle and walking or slowly running person. The proposed system consists of two phases; the detection phase which is used to detect car accident in low and high speeds. The notification phase, and immediately after an accident is indicated, is used to send detailed information such as images, video, accident location, etc. to the emergency responder for fast recovery. The system was practically tested in real simulated environment and achieved quite very good performance results.

1. DESIGN AND IMPLEMENTATION
OF
VEHICLE ACCIDENT SAVER
SONARGAON UNIVERSITY (SU)
1

2. Supervised By
Jannatul Nazrana
Lecturer
Department of EEE
Name ID
Md. Khadimul
Islam
EEE160300918
5
Md. Kamrul Islam
Galib
EEE160300910
6
Md. Romjan Ali
EEE160300908
9
Md. Masum
Billah
EEE160300911
7
Md. Ariful lslam
EEE1602008245
PresentedBy
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3. OUTLINE
Vehicle accident saver features…..4
Block Diagram……………………5
Flowchart………………..……….6
Circuit Diagram …………………7
Components used in our project...8
Hardware Analysis………………...9
Microcontroller We use …….……10
Ultrasonic Sensor HC-05
………………..11
16x2 LCD Display Diagram …………….12
L293D H-Bridge Dual Motor Driver
…….13
Gear Motor ……………………………….14
Software Arduino IDE ……………………
15
Real Project Photo
………………………..16
Project
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4. VEHICLE ACCIDENT SAVER FEATURES
1. Forward-collision warning (FCW)
2. Automatic emergency braking (AEB)
3. Pedestrian detection
4. Adaptive cruise control
5. Blind-spot warning (BSW)
6. Lane-departure warning (LDW)
7. Active head restraints
4

5. BLOCK DIAGRAM5

6. FLOWCHART6

7. CIRCUIT DIAGRAM7

8. COMPONENTS USED IN OUR PROJECT8

9. HARDWARE ANALYSIS9

10. MICROCONTROLLER WE USE
Arduino Uno R3
Microcontroller ATmega328
Operating Voltage 5V
Input Voltage
(recommended)
7-12V
Input Voltage (limits) 6-20V
Digital I/O Pins 14 (of which 6 provide Pulse-width modulation (PWM) output)
Analog Input Pins 6
DC Current per I/O Pin 40 mA
DC Current for 3.3V Pin 50 mA
Flash Memory 32 KB (ATmega328) of which 0.5 KB used by bootloader
SRAM 2 KB (ATmega328)
EEPROM 1 KB (ATmega328)
Clock Speed 16 MHz
10

11. ULTRASONIC SENSOR HC-SR05
• Power supply: 5V DC
• Quiescent current: <2mA
• Effectual angle: <15°
• Ranging distance : 2cm – 500 cm
11

12. 16X2 LCD DISPLAY DIAGRAM12

13. L293D H-BRIDGE DUAL MOTOR DRIVER13

14. GEAR MOTOR
Features
Rated Voltage: 5.0V DC
Working Voltage: 3.0V - 6.0V
DC Current: (Low load) 3V-150mA , 6V-200mA
Speed: (Low load) 3V-90rpm±10% , 6V-200rpm±10%
Torque: max. 0.8kg/cm
Reduction ratios: 1:48
Brush-type: Brush
Body Size: 70mm x 37mm x 23mm
Shaft Size: 8mm x 2mm diameter Weight: 17.5 gm
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15. SOFTWARE
ARDUINO IDE
The Arduino Integrated
Development Environment (IDE)
is a cross-platform application
(for Windows, macOS, Linux)
that is written in functions from
C and C++. It is used to write
and upload programs to Arduino
compatible boards, but also, with
the help of 3rd party cores, other
vendor development boards.
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17. PROJECT OUTCOME
• Save car from damage
• Make an Idea to save people life
• Make an Idea to road safety
• Controlling road rule
• Avoid unexpected accident
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18. FUTURE WORKS
• This device will connect as Internet of things - IOT (5G)
• This Device can communicate with nearest hospital, fire service and police
station.
• Our device can use in any vehicle to protect the vehicle and human life.
• Our device will be portable.
• Our device can work with Smart mobile and web application.
• All data of vehicle can be store as Black Box for future development.
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19. REFERENCES
1. Shanjedul Hassan “https://www.academia.edu/26908561/Distance_Measurement_for_car_Accident”
2. Maniruzzaman, K.M. and Mirta Raktim,(2005).Road Accidents in Bangladesh. IATSS Research,
Vol.29,No.2,
3. Mannan, M.S. and Karim, M. (1999). Road accidents in metropolitan Dhaka, Bangladesh. IATSS
4. Ministry of Communications, 1994. Rehabilitation of Works between Savar to Aricha Segment of
N5 Highway, Tender Document, Bangladesh
5. Roads and Highways Department, 1995. Development of Geometric Design Standards, Final
Report, volume VIIB, Road Materials and Standards Study Bangladesh, Ministry of Communications,
Dhaka
6. Hybrid Artificial Intelligent Systems: 12th International Conference,
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