sleep booster ppt

1. PROJECT SEMINAR ON
SLEEPBUSTER
COMPUTER VISION BASED DRIVER FATIGUE
DETECTION SYSTEM

2. Guided By
Dr. P. S. Sharma
Presented by
Alisha Shah &
Nidhi Chourasia

3. • Introduction
• What is Sleep buster???
• The Need.
• Project Objective.
• System Components.
• Challenges.
• Applications.
• Future Scope.

4. • A technique to detect the driver fatigue is an
interesting challenge that would help in
preventing accidents.
• We propose a direct approach that makes use
of vision based technique to detect fatigue and
alert the driver.

5. Sleep Buster is Computer Vision based driver
fatigue detection system.
 This system monitors the face of the driver and
detects the fatigue level in the driver by a self
developed image processing algorithm.
 If the system detects the fatigue level above a
threshold then it alerts the driver by various
means.

7. • According to WHO, road accidents annually
cause approximately 1.2 million death
worldwide. Also about 50 million persons are
injured in road accidents.
• If preventive measures are not taken , road
death is likely to become the 3rd leading cause
of death in 2020.
• So it is the NEED of an hour to bring a system
like SLEEPBUSTER which will help in
avoiding accidents and save life.

10. More than 20% of highway
traffic accidents are caused as a
result of driver fatigue.

11. • The OBJECTIVE of our project is to focus on
development of concept solutions, tools and
methods for fatigue risk management.
• It focuses on how to work with driver fatigue
on Strategic and Tactical level.

12. a Camera

13. Usually after 3-4 hours of constant driving,driver is
fatigued & steering performance is deteriorated
• In early after hours,
• After eating lunch,
• At midnight
In addition
• Drinking alcohol
• Drug addiction
• Using hypnotic medicines
Can lead to loss of conciousness.

15. • Every driver/car owner who understands the danger
of driving under fatigue condition
• Companies who want to keep track of their workers so
they do not drive under fatigue condition
• Parents, who want to take care of their children
• The Army, police
•Vehicle producers for use in new cars

16. The system principle

17. Available systems today
• Disadvantages:
- No treatment! Just detection
- High cost
- Driver-dependable
- Not customizable
- Invasive or annoying
- Not reliable
- Alerts long after the driver should not be
on the road

18. A combo of 3 major parts
• Imaging
• Hardware platform and processor
• Intelligent Software

19.  Lighting and camera.
 Driver face monitoring system should work in all
light conditions, lighting and camera selection is
one of the most important stage of system design.
 Lighting devices not only should provide enough
light in environment, but also should not hurt
driver eyes.
 Thus, near infrared (IR) spectrum is usually used
in lighting.
 Camera should be chosen based on the lighting
spectrum as well.

20. • Hardware platform may include main board, one
or more processors and Human Machine
Interface (HMI).
• In real systems, hardware platform should be
in the form of embedded system and should be
inexpensive as possible.
Processor of hardware can be one of the types of
conventional microprocessors.
 Digital Signal Processors (DSP).
 Field Programmable Gate Array (FPGA).
 Application-Specific Integrated Circuit (ASIC)
or a combination of them.

21. •Intelligent software is the most important part
of driver face monitoring system and is divided
into two main parts:
 Image processing algorithms.
 Decision-making algorithms.

23.  A non-intrusive monitoring system that will not
distract the driver.
 A real-time monitoring system, to insure
accuracy in detecting drowsiness.
 A system that will work in both daytime and
nighttime conditions.
 Iris detection under various conditions.
 Developing an algorithm for all skin colors.
 Constructing an effective light source.

24.  Determines the drivers state and detects the
fatigue.
 Number of accidents are decreased.
 Damage to expensive equipments are reduced
to a great extent.
 Useful for vehicle owners , police officers and
every individual.

25.  The system can also be used for trains , buses
or any other vehicle.
 It can benefit various travelling agencies.
 It proves to be an efficient tool for vehicle
owners.
•

27.  Future driver face monitoring systems can
recognize driver feeling and emotion by
extracting the driver facial expression.
 The system can also detect unusual and
abnormal state of driver such as heart attack or
epilepsy and send S.O.S message to police.
 Using 3D images is another possibility in
finding the eyes.
 Adaptive binarization is an addition that can
help make the system more robust.

29. Thank You