Background: Road accidents are a major cause of deaths worldwide. This is enormously
due to fatigue, drowsiness, and microsleep of the drivers. This does not just risk the life
of the driver and co-passengers but also a great threat to the vehicles and humans moving
around that vehicle.
Methods: Research, online content, and previously published papers related to drowsiness are
reviewed. Using the facial landmarks in DAT file, the prototype locates and identifies the eye
coordinates, and then calculates Eye Aspect Ratio (EAR). The EAR indicates whether the driver
is drowsy or not based on the result of various sensors that get activated, such as an alarm generator,
LED indicators, LCD message scroll, message sent to the owner, and the engine that gets
Results: The prototype is able to locate eyes in the frame and detect whether the person is
sleepy or not. Whenever the person is feeling drowsy, an alarm is generated in the cabinet, and
afterward , LED indicators will start glowing, messaging will be scrolling at the rear part of the
vehicle so that other vehicles and humans get cautioned. After this, the vehicle slows down, and
the engine gets locked.
Conclusion: This prototype will help in the reduction of road accidents due to human intervention.
It is not only helpful to the person who installs it in their vehicle but also for the other vehicles
and humans moving around it.