The Importance of Developing Drivers Drowsiness Detection System
Many road mishaps are caused by the restlessness of the drivers who ply the roads round the clock. They seem to have little time to sleep and most of the time they try to cheat nature by scaling their sleep and unfortunately most of them go the extra mile of taking substances that will help them put sleep away.
It was because somewhat imperative for the automobile industries to implement more safety measures for our road users. One of such is the introduction of the drivers’ drowsiness detention system into all the vehicles.
Installation of the system will be purposely used to detect any form of sleepiness of the driver. This would be electronically transmitted to an alert system, which will send warning bells to both the drivers and the passengers at the same time.
The way to operate the system
The system is designed in such a way that it monitors the body movements of the driver. The system also reads the drivers’ steering inputs over a period. It also studies how he maintains his postures. Its digitalized camera helps in recording of the facial manner of the driver, which includes lips and mouth movements too
This system can differentiate longer eye closure from normal eye blinks, which is shorter and comes in split mini-seconds.
A live video is used to record the face of the driver at the frame rate of 20fps. This helps the system to master when the driver is becoming sleepy.
Devices such as python interpreter and OpenCv libraries use effective problem- solving modalities to detect any unusual gesture and movements that points to drowsiness. The system’s performance is enhanced using the Raspberry-Pi.
As an IoT based application, it can be developed further as a Smartphone mobile App. The following features could be added to the app:
A. Detection of Accidents
During emergency periods such as accidents, the app can be able to detect accidents and subsequently send alerts to the nearest hospitals and at the same time sending the GPS location of the accident.
B. Vehicle theft
With the aid of its facial recognition features, the app can help to protect a vehicle are against being stolen.
C. User-Friendly
The app may be user-friendly so that a mobile account will be provided to enable the driver to log in for his sessions easily.
D. Easy Management
It should be easily managed by the admin, who monitors the sessions of the driver.
E. Mobile Capturing
The app will use the Smartphone’s camera to capture the driver’s facial expressions.
Daven Michaels is a New York Times Best Selling Author and CEO of premiere global outsourcing company, 123Employee. The company employs hundreds of young bright individuals on three continents. His International event, Beyond Marketing Live! Inspires entrepreneurs to build & grow their business with revolutionary new theories and systems allowing them to design the business and personal lifestyle of their dreams.
Michael Walbert says: 
The Importance of Developing Drivers Drowsiness Detection System
Many road mishaps are caused by the restlessness of the drivers who ply the roads round the clock. They seem to have little time to sleep and most of the time they try to cheat nature by scaling their sleep and unfortunately most of them go the extra mile of taking substances that will help them put sleep away.
It was because somewhat imperative for the automobile industries to implement more safety measures for our road users. One of such is the introduction of the drivers’ drowsiness detention system into all the vehicles.
Installation of the system will be purposely used to detect any form of sleepiness of the driver. This would be electronically transmitted to an alert system, which will send warning bells to both the drivers and the passengers at the same time.
The way to operate the system
The system is designed in such a way that it monitors the body movements of the driver. The system also reads the drivers’ steering inputs over a period. It also studies how he maintains his postures. Its digitalized camera helps in recording of the facial manner of the driver, which includes lips and mouth movements too
This system can differentiate longer eye closure from normal eye blinks, which is shorter and comes in split mini-seconds.
A live video is used to record the face of the driver at the frame rate of 20fps. This helps the system to master when the driver is becoming sleepy.
Devices such as python interpreter and OpenCv libraries use effective problem- solving modalities to detect any unusual gesture and movements that points to drowsiness. The system’s performance is enhanced using the Raspberry-Pi.
As an IoT based application, it can be developed further as a Smartphone mobile App. The following features could be added to the app:
A. Detection of Accidents
During emergency periods such as accidents, the app can be able to detect accidents and subsequently send alerts to the nearest hospitals and at the same time sending the GPS location of the accident.
B. Vehicle theft
With the aid of its facial recognition features, the app can help to protect a vehicle are against being stolen.
C. User-Friendly
The app may be user-friendly so that a mobile account will be provided to enable the driver to log in for his sessions easily.
D. Easy Management
It should be easily managed by the admin, who monitors the sessions of the driver.
E. Mobile Capturing
The app will use the Smartphone’s camera to capture the driver’s facial expressions.
Daven Michaels is a New York Times Best Selling Author and CEO of premiere global outsourcing company, 123Employee. The company employs hundreds of young bright individuals on three continents. His International event, Beyond Marketing Live! Inspires entrepreneurs to build & grow their business with revolutionary new theories and systems allowing them to design the business and personal lifestyle of their dreams.
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