Tech-stack:python,Open-cv,nodejs,html,css,mongodb

1. TECHNORAX 5.0
T-HACK 2.0
TEAM: BIT_REBELS
MEMBERS: GAURAV GUPTA | RISHABH SHARMA | VINEET JHA | SHLOK BANSAL

2. Drowsiness & Sleepy Driving:
The Silent Killer on Indian roads
Driving when you are sleepy & exhausted? Well, you're as much of a safety hazard as a
drunk driver. We assume everyone agrees with the fact that, "you're more likely to die from
drowsy driving than from texting while driving, distracted driving or drunk driving
combined".
The effects of drowsiness are similar to alcohol - it will make your driving inputs (steering,
acceleration, braking) poorer, destroy your reaction times & blur your thought processes.
According to data 20% of all fatal accidents in the India are due to drowsiness! We can only
imagine what the stats are like for India which has a higher road accident rate. Problem is,
no one researches this out here. Headlines only scream 'speeding car hits biker'. The Times
of India has merely 800 results for 'sleepy driver', but a whopping 2.23 lakh for 'speeding
car'.

3. Some recent data suggesting the need of
technologies to mitigate such events.

4. THE UNSPOKEN MISERY OF INDIAN ROADS

6. PRIMARY CAUSES OF ROAD ACCIDENTS

7. REASONS OF DROWSY-DRIVING :
 Difficulty focusing, frequent blinking or heavy eyelids
 Daydreaming; wandering / disconnected thoughts
 Trouble remembering the last few km driven; missing exits or traffic signs
 Yawning repeatedly or rubbing your eyes
 Trouble keeping your head up
 Drifting from your lane, tailgating or hitting a shoulder rumble strip
 Feeling restless and irritable

8. OUR SOLUTION:
MITIGATION OF DROWSY DRIVING USING OPEN-CV:
There are ways through which we can prevent accidents due to drowsy-driving.
One such method which we have implemented is illustrated below:
 If the driver has been yawning for a long time an alarm will go off.
 If the driver’s eyes have been closed for a certain amount of time, we’ll
assume that they are starting to doze off and play an alarm to wake them up
and grab their attention.

9. THE DROWSINESS DETECTION
ALGORITHM:
Our drowsiness detector hinged on two important computer vision techniques:
 Facial landmark detection
 Eye aspect ratio
To visualize this, consider the following figure from Soukupová and Čech’s 2016
paper, Real-Time Eye Blink Detection using Facial Landmarks:

10. DEMONSTRATION

11. THANK YOU!