This document proposes an app and wearable device to detect drowsy, fatigued, or distracted driving to reduce road accidents. It would work by: 1. Monitoring the driver's eye movements with the app to detect if they are awake or falling asleep. 2. Using a wearable device to monitor the driver's brain waves to detect alert (alpha) and sleepy (theta) states. 3. Sending an immediate alert through the app and haptic feedback from the device to warn the driver to stay alert if drowsy driving is detected.

1. App for a safe drive
Sleep, not while you drive

2. The problem statement
Every hour, 16 lives are lost to road crashes in India.
According to the WHO, road crashes kill 1.2 million people and permanently disable
another 50 million every year
Problem 1
Drowsy driving
60% of adults have driven
while drowsy
36% shift workers drive
while drowsy
Problem 3
Distracted driving
Problem 2
Fatigue
Causes 20% of fatal
accidents
30% of single vehicle crash
in rural areas
19 Indians Die Daily In Drink-Driving
Mishaps
80% of all car accidents are caused by
the driver being distracted in some way.

3. Evidence
source: WHO

4. The solutionProposed Solution
Detecting and alerting the driver when he is drowsy,
fatigue or distracted while driving is the key to avoid major
deaths due to road accident.
We propose Instant AI powered app and a brain
signal detecting wearable for accident detection
Step1 : App monitors driver's eye moments if he is awake or falling asleep
Step 2: Wearable device will monitors driver's brain waves - Alpha
(awake) and Theta (sleepy)
Step3 : Driver receives an immediate app alert with a notification and a
haptic feedback through the device to stay alert.
How it works?

5. Technical details
EYE RATIO ESTIMATION

6. Customer
The customer segments:
1.Logistics 2.travels 3. cab services 4. School buses
But the current potential customer is travel company where they
have regular bus and goods services.
viz VRL, SRS, Durgamba, Orange bus and Seabird tourists.
Channels :
Social media, other digital activities, non-digital activities

7. Value propositions
1.
Live track driver's facial expressions and
alert him to be active
2.
Driver should be able to use it at any time
anywhere irrespective of the internet
connection
3.
Affordable, ergonomic and significantly
less false alarms
4.
Safety assurance to the end users hence
they attract more customers
5.
Less time is used to implement the
solution

8. Competitive landscape
We do not have any vehicle dependency.
Affordable than all the existing solutions
The Advantage :
The products they have will only be integrated to the vehicles of that particular
manufacturer.
Our competitors are Bosch mobility solutions, continental,
alibaba (with 522 different sleep detection products), Intel
mobili, Panasonic auto, citroen

9. 1.9 Billion
2 T
1.9 Billion
38 B
1.9 Billion
100 M
TOTAL AVAILABLE MARKET (TAM)
SERVICEABLE AVAILABLE MARKET (SAM)
SERVICEABLE OBTAINABLE MARKET (SOM)
Market strategy
This is calculated only for Indian market.
The currency is in Rupees

10. Khyati
System Devop
Atom360
Soumya
AI Engineer
GWM
Rizma
Business developer
Atom360
Reuben
AI Engineer
Atom360
MEET OUR TEAM
Avinandan
Research scholar
IISC

11. Thank you