Driver drowsiness

Drowsiness is simply defined as ?a state of near sleep due to fatigue?. It is technically distinct from fatigue, which has been defined as a ?disinclination to continue performing the task at hand?. The effects of sleepiness and fatigue are very much the same. Fatigue affects mental alertness, decre

Project Title

Driver drowsiness

Project Area of Specialization

Computer Science

Project Summary

Drowsiness is simply defined as “a state of near sleep due to fatigue”. It is technically distinct from fatigue, which has been defined as a “disinclination to continue performing the task at hand”. The effects of sleepiness and fatigue are very much the same. Fatigue affects mental alertness, decreasing an individual’s ability to operate a vehicle safely and increasing the risk of human error that could lead to fatalities and injuries. Sleepiness slows reaction time, decreases awareness, and impairs judgment. Fatigue and sleep deprivation impact all transportation operators (for example: airline pilots, truck drivers, and railroad engineers).In both conditions, driver can’t focus on primary task of driving which may enhance the likelihood of crash occurrence. With the ever-growing traffic conditions, this problem will further deteriorate. For this reason, it is necessary to develop driver alertness system for accident prevention due to Driver Drowsiness

The driver drowsiness detection is based on an algorithm, which begins recording the driver’s steering behavior the moment the trip begins. It then recognizes changes over the course of long trips, and thus also the driver’s level of fatigue. Typical signs of waning concentration are phases during which the driver is barely steering, combined with slight, yet quick and abrupt steering movements to keep the car on track.

Project Objectives

The main aim of this is to develop a drowsiness detection system by monitoring the eyes; it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident. Detection of fatigue involves the observation of eye movements and blink patterns.

technology which helps to save the life of the 
driver by preventing accidents when the driver is getting drowsy.
? The main objective is to first design a system to detect driver’s drowsiness by 
continuously monitoring retina of the eye.
? The system works in spite of driver wearing spectacles and in various lighting conditions.
? To alert the driver on the detection of drowsiness by using buzzer or alarm.
? Speed of the vehicle can be reduced.
?Traffic management can be maintained by reducing the accidents

Project Implementation Method

One solution to this serious problem is the development of an intelligent vehicle that can predict driver drowsiness and prevent drowsy driving. The percentage of eyelid closure over the pupil over time (PERCLOS) is one of the major methods for the detection of the driver’s drowsiness. Physiological measurements like electroencephalogram (EEG), electrocardiogram (ECG)capturing eye closure, facial features or driving performance (such as steering characteristics, lane departure, etc.are used for drowsiness detection. When drowsiness is detected while driving, audible sound vibrations or warning messages on a display are generally used to warn the driver to concentrate on driving or to take a rest. These methods help the drowsy driver to prevent drowsiness-related crashes in a moment, but it is hard to get rid of drowsiness by just being aware of it. As we found in the literature review, most of the methods need lot of equipment which is not possible in real life implementations. Also most of the methods which rely on camera input for detection of opening and closing eyelids are not to be tested like they can be implemented in real time as most of the scholars take image as camera is fixed in front of the driver’s road view. As for clear view, it is not possible to put the camera on front mirror. Secondly most of papers have drawbacks when there is high luminance caused by sunlight as well as during dim light conditions like bad weathers. We decided to explore this topic further according to the climate of our country and decided to propose a noble method which can eradicate the above written shortcomings of the literature survey.

Benefits of the Project

1. Detects drowsiness

2. Decreasing road accidents

3. System implemented without using database storage

4. No wires, cameras ,monitor or other devices are to be        attached or aimed at the driver

5. Due to the non obstrusive nature of these methods they are more practically applicable

Technical Details of Final Deliverable

 Stereo vision refers to the ability to infer information on the 3-D structure of a scene from two or more images taken from different viewpoints. Stereo pairs stand as an imperative source for depth extraction. This thesis describes a system which automatically recovers the depth information by finding the corresponding points between two images; this process of reconstructing the depth from two images is also called binocular stereopsis. My contributions include the development of a system, automation of the complete process, comparison of the stereo matching techniques for measuring disparity maps on MATLAB simulation as well as on Hardware i.e., on BLACKFIN EZ-LITE Kit (ADSPBF561). I have proposed a system which takes the stereo pair as the input and gives estimated relative depth .After testing a number of stereo pairs and comparing them with the ground truth, the experimental results demonstrate that my system approach leads to a system encompassing the state-of-art algorithm, which extracts the depth information    

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com