The document details a real-time IoT application aimed at detecting driver drowsiness and alerting both the driver and vehicle owner to prevent accidents. It describes the causes of drowsiness and the project's methodology involving infrared sensors integrated into spectacles, which connect to a Raspberry Pi for real-time monitoring and alerts. The system triggers an alarm when eyelid closure exceeds one second, ensuring immediate action to enhance driving safety.

1. Real-Time IoT application for Driver
Drowsiness detection & Alert
system

2. Introduction
• Vehicle accidents are most common if the driving is inadequate.
• These happen on most factors if the driver is drowsy or if he is alcoholic. Driver
drowsiness is recognized as an important factor in the vehicle accidents.
• It was demonstrated that driving performance deteriorates with increased drowsiness
with resulting crashes constituting more than 20% of all vehicle accidents. But the life
lost once cannot be re-winded.
• Reasons leading to falling asleep behind the wheel as follows,
1. Fatigue. Driver has been at the wheel for long enough (typical for professionals) or he has
performed the monotonous heavy work the day before ride (typical for amateurs).
2. Alcohol intoxication. Even small "allowed" dose of alcohol of 0.3 ppm can dramatically
increase the likelihood of falling asleep of the driver.
3. Monotonous road. Road without any features, wide, with the same view on the roadside,
especially familiar, where "anything can happen" by itself has a calming effect and begins
to put to sleep.
4. Riding at an inopportune time, at night.
5. Riding after a hearty lunch. Large amount of food in the stomach causes an outflow of
blood from the brain. The brain begins to "dozing."
6. Taking medication. There is a large list of drugs reducing reaction, calming the nervous
system, relieves pain. Accordingly,increases the likelihood of falling asleep.

3. Introduction
• Signs of falling asleep behind the steering wheel. If you notice them, it's
time to take urgent action.
1. Vigilance reducing. Thoughts begin to wander far from the topics quite a
trip, come back memories …
2. Reducing of attention. You stop understand the readings, you stop notice the
signs, intersections, landscape.
3. Lack of concentration and tension in the hands and feet. On the straights you
want to steer with "one finger". No desire to make sharp movements,
 This list could be continued
 But the result is same, Eyes become "heavy" and blink time is greatly
increasing. You want to keep your eyes closed "at least a few seconds.“

4. Project Idea/Proposed work
• This project involves controlling vehicle accident & saving driver’s life by
alerting him & vehicle owner on real time.
• in this project driver wears a goggle/spectacles fitted with Infra Red sensors&
buzzer
• This spectacles is further connected with ARM microcontroller device i.e.
Raspberry-Pi which is communicating with remote web server or android app in
real time.
• Whenever driver’s eye blinking period is more than 1 second, we consider this
condition under drowsiness i.e driver is drowse.
• Immediate action will be taken & Buzzer will immediately blown up & alerts &
wake’s up the driver.
• This drowsiness condition is reported to the remote person through Raspberry pi
in real time.
• Coding is done in C++ or Python programming language

5. Block Diagram

6. Hardware Requirement
1. Spectacles
2. IR Sensors
3. Buzzer
4. Raspberry Pi
5. Micro SD Card, HDMI Cable, Power Supply Adapter ,WiFi Module
6. GSM
7. Android mobile
8. Desktop/Laptop

7. Software Requirement
1.Raspbian OS.
2. C/C++/Python- programming software.
3.Android programming software.
4.Microsoft OS.

8. 8
Raspberry Pi:
It is used for measuring Water Temperature using DS18b20
watel temperatute digital sensor.
Raspberry Pi Model B+ Specification:
SoC - Broadcom BCM2835
CPU - 700 MHz ARM1176JZF-S core
RAM - 512 MB
USB Port - Four
Ethernet Port - 10/100 Mbps Ethernet
Current Rating - 600mA-1800mA
Voltage Rating - 5V
Power Rating - 3.0W
GPIO - 40 Pins.Storage type - Micro SD Card (Maximum Size - 32GB,Class10)
Block Diagram Description

9. Block Diagram Description
GSM MODULE:
Used for transmitting & receiving fish pond conditions to android App.
used for sending & receiving user commands via SMS through mobile.
It is also used for text messaging the measured readings to and from the
raspberry pi & arduino.
In our project ,we are using SIM300_V7.03 GSM shield from RoHS.

10. IR Tx & Rx

11. Thank You
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