1. S.D.COLLEGE OF ENGINEERING AND
TECHNOLOGY , MUZAFFARNAGAR
Start Up Presentation
VEHICLE ACCIDENT PREVENTION
By
Prateek Saraswat
(C.S.E 2ND Year)
2. Efficient Approach for Prevention of major accidents or may be save
many lifes :
a) Drink and Drive cases : In 2020 alone, the state has recorded 5,496 car
accidents that were related to drunk driving.
b) Sleep Deprived Drivers :Each year, nearly 100,000 traffic crashes can be
attributed to drowsy driving, including more than 1,500 deaths and over 70,000
injuries
c) Organs Out from Vehicle
d) Accidents due to driver’s unwellness(fatigue)
Problem Statement
3. The system can be used by automobile industries .
Prevent major accidents and CRANIOFACIAL FRACTURES.
The system incorporates pattern analysis, and computer vision techniques and is
expected to improve the driving and reduce accidents.
The combination of advanced technologies or sensors increase the safety of
automobiles and reduce accidents and could save many expensive lifes.
Scope
5. Design and implementation of OPTICAL PARTICLE COUNTER
SENSOR :
Optical sensors detect different particles in gasses like Methanol
and Ethanol by measuring the absorption of infrared light.
This concept is already used in checking air purity by measuring
amount og gases in atmosphere like carbon-di oxide and carbon-
mono oxide, etc.
Proposed Methodology :
6. For each DRIVER SIDE ENTRY
Do
Senses his smell;
If it is alcoholic smell:
Then doesn’t start the ignition;
Else
Start the ignition;
Enhance the result by applying ALCOHOLIC DETECTION SENSOR.
Use techniques of segmentation to prevent from major accidents and
expensive lifes.
END
Pseudocode for the proposed segmentation technique:
7. Hardware And Software Used:
Raspberry Pi
LCD Display
Resistors
Capacitors
Diodes
Alcohol Sensor
DC Motor
Buzzer
LED’s
8. System constantly monitors the sensitivity of alcohol sensor for drunk
driver detection.
If driver is drunk, the processor instantly stops the system ignition by
stopping the motor. If alcohol sensor is not giving high alcohol intensity
signals, system lets engine run.
How It Works?
10. Design and implementation of LASER LIGHT
SENSORS:
Laser alarms work by projecting light into a detector, which
sends a specific voltage into sensing electronics.
When the detector no longer senses the light, it changes this voltage,
causing the sensing electronics to turn on the alarm.
Proposed Methodology:
11. For each WINDOW SIDE SITTER
Do
LASER BEAMS on when the ignition is on;
If anyone cross the laser;
Then the alarm start beeping and a shock is feel.
Else
no beeping and no shock;
Enhance the result by applying LASER LIGHT SENSOR(INFRARED
SENSORS)
Use techniques of segmentation to prevent BODY ORGANS .
END
Pseudocode for the proposed segmentation technique:
13. Laser sensors fixed horizontally and vertically
in all the four windows.
They would set up in all the 4 windows of car
If anyone crosses the beam then alarm ring on
the dashboard of driver and if someone from
outside break the beam then a shock will be
absorbed by the body.
How It Works?
15. Design and implementation of EYE BLINK SENSOR :
It tracks the movement of pupil and keeps focus on eye contact for a specific time.
If eye contact not found for 15 seconds then an alarm starts beeping.
Already used in online exams.
Design and implementation of FATIGUE MONITORING SENSORS:
It measures the B.P.,STRESS LEVEL, FATIGUE of the driver and don’t start the
vehicle.
Already used in Aeroplanes to check fatigue level of PILOTS.
Proposed Methodology :
16. For each DRIVER
Do
Keep focusing on his eyes;
If eyes closed continously for more than 12 seconds ;
Then the alarm start beepingand alert the driver.
Else
no beeping.
Enhance the result by applying EYE BLINK SENSOR;
Use techniques of segmentation to prevent CARNIOFACIAL
FRACTURES.
END
Pseudocode for the proposed segmentation technique:
17. How It Works?
It keeps focus on driver’s eye
and count his blinkings.
If the eyes not open for more
than 12 seconds then the
alarm starts beeping and
alert the driver.
