Driver’sDrowsiness Detection And Alerting SystemM.Monisha,A.Shirley Pradeeksha P.
Sowmiyaa, S.K.VedhashreeElectronics and Communication EngineeringM.
Kumarasamy college of engineeringKarur Abstract— A large majority of road accidents are relatively of driver fatigue,distraction and drowsiness. Now a day’s many accidents are increased, sovarious technologies are introduced toreduce the road accidents. One of that mistakes, a driver can lead to severephysical injuries, death and significant economic losses also.
Driver’sdrowsiness detection and alerting system also used to reduce the road accidents.Thus to prevent road accidents, a device has to be used. Our main objective isto develop the system which detects the drowsiness of the driver and alsoindicate the driver about their fatigue condition by the alert warning.In thisproject we are using eyeblink sensor to detect the drowsiness of the driver.Keywords—Drowsiness detection, Monitiring driver’s behaviour,eye blink moment,Accidentprevention. I. IntroductionDrowsiness is a state resulting in reduction of consciousness caused dueto lack of sleep or fatigue. Due to drowsiness, drive loses control of thevehicle which may deviate him/her from the road and results in severeaccidents.
Most of the accidents caused today by cars which is mainly due to the driver fatigue. Driving fora long period time causes excessive fatigue and tiredness which turns makes thedriver sleepy or loose awareness. With the very fast increase in the number ofaccidents seems to be increasing day by day. Therefore, a need arises to designa system which keeps the driver focused on the road. The purpose of this project is to develop amodel for a driver fatigue detection that basically measures a driver’s fatiguethrough face detection. The focus is based on designing the system that willmonitor driver fatigue in real-time.
An example is Percentage of Close and Open(PERCLOS). This detection can be done using a sequence of images of eyes aswell as face and head movement. The observation of eye movement and its edges for the detection will be used.
Devicesto detect when drivers are falling asleep and to provide warning.If the personconsumed alcohol it can be easily detected by alcoholic sensors. II.
Literature survey1 Drowsy Driver Sleeping Device andDriver Alert System(April 2014) Methodsfor Detecting Drowsy Drivers Here various techniques are used todetect the drowsiness of drivers. These techniques can be classified into thefollowing categories: sensing of physiological characteristics, sensing ofdriver operation, sensingof vehicle response,monitoring the response of the driver. MonitoringPhysiological Characteristics Among those methods, the techniquesthat are best, based on accuracy are the ones based on Human physiologicalphenomena.This technique is implemented in two ways: Measuring changes inphysiological signals, such as brain waves and eye blinking; and measuringphysical changes such as sagging posture, leaning of the driver’s head and theopen/closed states of the eyes . The first method, is the most accurate, whichis not realistic, since sensing electrodes would have attached directly ontothe driver’s body, and hence be annoying and distracting the driver. Inaddition, long time driving would result in perspiration on the sensors,diminishing their ability to monitor accurately.
The second technique is wellsuited for real world driving conditions since it can be non-intrusive by usingoptical sensors of video recording cameras to detect changes. 2. Drowsiness Detection System forCar Assisted Driver Using Image Processing(December 2015) Driver in-alertness is an importantcause for most of the accident related to the vehicles crashes.
Driver fatigueresulting from sleep deprivation or sleep disorders is an important factor inthe increasing number of the accidents on today’s roads. Drowsy driver warningsystem can form the basis of the system to possibly reduce the accidentsrelated to driver’s drowsiness. The purpose of such a system is to performdetection of driver fatigue. By placing the camera inside the car, we canmonitor the face of the driver and look for the eye-movements which indicatethat the driver is no longer in condition to driver is no longer in conditionto drive. In such a case, a warning signal should be issued.
This paperdescribes how to ?nd and track the eyes. We can also describe a method that candetermine if the eyes are open or closed. The main criterion of this system isthat it must be highly non-intrusive and it should start when the ignition isturned on without having at the driver initiate the system. Nor should thedriver be responsible for providing any feedback to the system. The system mustalso operate regardless of the texture and the color of the face. It must alsobe able to handle diverse condition such as changes in light, shadows,re?ections etc. In given paper a drowsy driver warning system using imageprocessing as well as accelerometer is proposed3. A Survey Paper On DrowsinessDetection & Alarm System for Drivers(December 2016) Our safety is the first prioritywhile travelling or driving.
One mistake of the driver can lead to severephysical injuries, deaths and significant economic losses. Nowadays there aremany systems available in market like navigation systems, various sensors etc.to make driver’s work easy. There are various reasons especially human errorswhich gives rises to the road accidents. Reports say that there is a huge increment in the road accidents in ourcountry since last few years.
The main reason occurring from the highwayaccidents is the drowsiness and sleepiness of driver while driving. It is anecessary step to come with an efficient technique to detect drowsiness as soonas driver feels sleepy. This could save large number of accidents to occur.
Weconduct the survey on various designs on drowsiness detection methods to reducethe accidents. 4. Driver Fatigue Detection(2016) Driver fatigue detection is a termused to develop a nonintrusive system which can detect fatigue of the driverand issue a timely warning. The idea behind this project is to monitor thedriver’s eyes using a camera in real time and to develop algorithm that candetect driver fatigue. Besides, the system also produces warning output in a formof sound once fatigue is detected.5. Eye Monitoring System for Road Transportation Safety(April 2017) The Research paper focuses on impactand importance of eye monitoring system to avoid road accident cases.
Recentlydriver sleepiness and fatigues are major factors responsible for fatal roadaccidents. The current research work monitors blinking of the driver’s eyes.Many a times, the drowsiness/fatigue of driver may results in sleep indication,unconsciously eyes get closed and the focus on driving gets distracted. In thedesigned eye monitoring system sensors are used to check that the eye lids areclosed more than 5 seconds then these sensors will generates the voice signal.
The voice signal is generated from the sensors are in the form of the audio voicesignal. Audio signal will be amplified and resulting in loud voice alarm.Thereby resulting in strong voice alarm and making driver alert. Hence, withina few seconds driver will regain his focus and control the vehicle in aneffective manner. Thus it will helps in avoiding any future road accidents dueto the sleepiness and Fatigue III.
ExperimentalSetupThis block diagram consisting of eye blink sensor,alcoholic sensor,temperature sensor, microcontroller, LCD display, relay, light indicator, drivercircuit, gear motor, LED. Theinput of the three sensors are fed to the ATMEL microcontroller .If theeyeblink of a person is decreased the alarm will be given to the driver andautomatically the car will slow down and indicate the vechicle coming at thebackside of the car this will be indicated by LED.If the driver has consumedalcohol it will be detected by alcoholic sensor and indicated in LCD. Power supply In ourproject the eye blink sensor is placed near the eye to sense the blink countand this information is transmitted in the form of pulses and is given to theMicrocontroller. The Microcontroller uses this information to compare with thenormal eye blink programmed in the chip and if any abnormal situation arisesthe vehicle is stopped with an alarm indication, this operation is enabled bymeans of the driver circuit connected to the vehicle motor . This project prevents the accidentdue to alcohol consumption. The alcohol consumed by the driver is measured bysensor.
The output from the sensor is given to the controller through thesignal conditioning unit. If any abnormal condition takes place the controllerwill alarm and also controls the speed of the vehicle.By using gear motor nearthe engine can slow down the car and indicate for the vechicle behind in orderto avoid mishap in traffic areas.In our system we are using LED,LCD and gearmotor.LED is used to indicate the divers in backside of our vechicle.LCD isused to display the conditions of the drivers weather he is in drowsy conditionor not. IV.
Research AndMethodologyThe drivers drowsiness detection is used to prevent accidents in roadtranspotation.It is one of the safety technology to prevent road accidents thatcaused bydrivers drowsiness or by consuming alcohol.In current research work is based on the blinking of eye lids many timesso the result will be the sleep indication,without the persons knowledge thewill get closed and the driver gets distracted so accidents will occur.In this project if the eye will not blink 10-12 seconds continously theeye blink sensor will recieve the infrared from the eye and transmit theinfrared to the eye so by this indication it will give a alaram sound and itwill slow down the vechicle it will also indicate the vechicle who will becoming at the back of the vechcileBenfits of the device Portable less cost ease installationBenfits of the system Avoidaccidents Easy to use V.Conclusion andfuture workThis projectrepresents an example of systematic approach to the assessment of wearablesensors for physiological parameter measurement. If it is fixed in vehicles and used as a public source. By thisproject driver’s drowsiness is monitoredcontinuously. In case of any trouble, they will be alarmed and dispaly easily.
Lately as per IRB survey it had indicated that 27 % road accidents are due thedriver fatigue, sleepiness & drowsiness. So as to avoid road accidentsdesigning driver drowsiness detection system will be certainly fruitful. Thusit is concluded that eye monitoring system is one of the rapid method formaking driver alert if drowsiness or fatigue is experienced while driving. Itis one of the most efficient method that can help us to reduce incidences offatal road accidents caused due to the driver fatigue, sleepiness . We developed a system that localized and track the eyes and headmovements of the driver in order to detect drowsiness. The system uses acombination of template based matching in order to localize the eyes. Duringtracking, system will be able to decide if the eyes are open or closed andwhether the driver is looking in front. When the will be closed for too long, awarning signal will be given in the form of buzzer or alarm kit message.
Infuture, this project will be enhanced in aircraft system for fast and accurateperformance.VI.Reference1) Jayasenan J. S1, Mrs. Smitha P. S2 1Student, M.Tech SignalProcessing, Department of electronics and communication engineering,Sree ChithraThirunal College of Engineering and Technology, Pappanamcode,Trivandrum2Assistant Professor, Department of electronics and communicationengineering,Sree Chithra Thirunal College of Engineering and Technology,Pappanamcode,Trivandrum Volume 4, Issue1, Ver.
I (Jan. 2014),2) Miss. Kanchan Manohar Sontakke Computer Science And Engineering, Khurana,Sawant Institute Of Engineering , Hingoli, SRTM UniversityNandedMSIndia , Volume 5, Issue 7, July 2015 3) Sharad S. Nagargoje1, Prof. D. S. Shilvant2 1PG Student, 2 Assistant Professor, Department of Electronics& Telecommunication, Shreeyash College of Engineering & Technology,Aurangabad, Maharashtra, India Vol. 3, Issue 4, pp: (175-179), Month: October – December 2015 4) Prakash Choudhary1, Rahul Sharma2, Gautam Singh3, SmarjeetDas4 1,2,3,4 Professor Sumedh G.
Dhengre, Dep. Of Computer Engineering, AISSMSCOE, Pune, Maharashtra, India Volume: 03 Issue: 12 | Dec -20165)M.H. Abdullah · K.
J. Raman · A. Azman(?) ·S.
Yogarayan · H.A.A. Elbendary · M.
F.A. Abdullah · S.Z. Ibrahim Faculty of Information Science andTechnology,(2016)6) Apoorva Sood1, Harsh Jain2, Vikrant Khurana3, PritiSingh4, Karamjit Kaur5 1,2,3Student, Department of Electronics and Communication,Amity University Gurgaon, Haryana, India 4,5Faculty, Department of Electronicsand Communication, Amity University Gurgaon, Haryana, India (2016)7) 1Mayura Zadane, 2Pradnya Jadhav, 3Prajakta Totre,4Tejaswini Jagdale, 5Shrilekha Mankhair 1234Student, Computer Engineering, MES College of Engineering, Pune,Maharashtra, India, 5Professor, Dept. Of Compter Engineering, MES College ofEngineering, Pune, Maharashtra, India(2017) Volume: 04 Issue: 05 |May -2017 8) Mr.
Kundan V. Mane1 Asst. Prof.
Smitaraja S. Kapase2 1,2 Bharati Vidyapeeth’s Institute of Management andInformation Technology, Navi Mumbai Volume 3 Issue 4, April 2017 pp.128 – 133