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An image processing-based system proposal for real-time detection of drowsiness from a vehicle driver's eye movements

Murat Silahtaroğlu, Serkan Dereli
2021 Academic Perspective Procedia  
This study proposes a real-time image processing-based system for recognizing the drowsiness face expression of the vehicle driver.  ...  This system, after detecting drowsiness eye, give audible alert the vehicle driver to stay awake throughout the driving journey.  ...  In these systems, which are controlling the state of drowsiness of the driver through a webcam with night vision to track the driver in real time and when drowsiness is detected, the system will send a  ... 
doi:10.33793/acperpro.04.01.15 fatcat:7dhqv23xtzbvho6kfztwlza3vu

IMAGE AND BRAIN SIGNAL PROCESSING BASED DROWSINESS DETECTING AND ALARMING SYSTEM

Saranya K, Assistant Professor, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India, Jayanthy S, Syed Ali Fathima S J, Professor, Department of Electronic Communication and Engineering, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India, Assistant Professor, Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India
2019 MATTER International Journal of Science and Technology  
A system that automatically detects drowsiness of the driver in real time using computer vision is proposed.  ...  This multi-model technique makes use of Signal and Image processing for effectively detecting drowsiness.  ...  If the eyes are closed for a sufficiently long enough amount of the time, the motive force is in danger of falling asleep and Drowsiness signal processing detection module collects the EEG signals in real  ... 
doi:10.20319/mijst.2019.52.190201 fatcat:l66lix47rrflbgkuexxf2qbwye

Driver Drowsiness Detection Based on Face Feature and Perclos

S. Gopi, Dr. E. Punarselvam, K. Dhivya, K. Malathi, N. Sandhanaselvi
2021 International Journal of Scientific Research in Science and Technology  
From the detected eye, iris regions for left and right eyes are used to calculate the PERCLOS measure (the percentage of total time that eye is closed).  ...  The method attempts to recognize the face and then detecting the eye in every frame.  ...  Driver Eye Detection This the second module with the help of this module to detect human eye through (haarcascade_frontalface_alt) this xml file.  ... 
doi:10.32628/ijsrst218319 fatcat:thaclnl74fcqnen7j4nlgblhji

A Survey on Driver Fatigue-Drowsiness Detection System

Indu R. Nair
2016 International Journal Of Engineering And Computer Science  
We express our immense pleasure and thankfulness to all faculty members of the Department of Computer Science & Engineering of Sree Buddha College of Engineering, Alappuzha.  ...  The approach starts with the detection of head-shoulders of the figure in the image, followed by face and eye detections and eye openness estimation.  ...  The driver-drowsiness level is measured as PERCLOS, which is the percentage of eye closure time during a certain time interval.  ... 
doi:10.18535/ijecs/v5i11.92 fatcat:q34cj7cr6rcq7cn6tqrdqvyz4m

On-Road Drowsiness Alarm of Drivers using Raspberry Pi

2017 International Journal of Recent Trends in Engineering and Research  
In this paper, such a real-time video based vision processing system is proposed to estimate drowsiness of drivers and to alert them by a buzzer. Face is detected by a YCbCr color model based filter.  ...  Vision processing in real-time applications is the emerging research area. The environment based processing of live-videos encourages the researchers for inventions of good life hacking products.  ...  INTRODUCTION Image processing is now named as vision processing that process image in the form of signal, images or videos from real-time sources.  ... 
doi:10.23883/ijrter.2017.3512.cpeeb fatcat:zla4ajx7vrcd7fv3xra26ykjxe

CIRCUMVENTING TRAFFIC COLLISION INFLUENCED BY DROWSY DRIVING THROUGH IOT TECHNOLOGY

Anjitha Sreenivasan, Apoorva ., Geethika P, Shamiya ., Swarna H.R
2019 International Journal of Recent Trends in Engineering and Research  
System uses Eye Aspect Ratio (EAR) as input to detect the drowsy state of driver. Whereas the entire system is executed in Raspberry Pi3 it uses web camera to detect eye blink and drowsiness.  ...  Digital image processing (DIP) is an effective application which playsss a decisive role in road accident caused by drowsy driving.  ...  CONCLUSION The real time drowsiness detection system here to locate driver's eyes to monitor them for fatigue is capable of detecting the drowsiness in a rapid manner.  ... 
doi:10.23883/ijrter.2019.5027.sofqs fatcat:3pkhpp2ztbbpjaswjhghvofhju

An automatic driver drowsiness alert system by using GSM

Gobhinath S., Aparna V, Azhagunacchiya R
2017 2017 11th International Conference on Intelligent Systems and Control (ISCO)  
It is important for driving support systems to detect the status/activity of driver's consciousness. Detecting onset of driver fatigue could prevent the accidents caused by drowsy driving.  ...  EEG signal is one of the most predictive and reliable measurements by the analysis of alpha, beta and theta band power etc, which are considered as direct factors associated with human drowsiness.  ...  , in-vehicle, real-time drowsy using Lab VIEW tool and the drowsiness level is detected driver detection and fatigue alerting system.System that and the alarm signal will be activated by the alert system  ... 
doi:10.1109/isco.2017.7855966 fatcat:oz2g4mzysrgrnaewqlghzxh2me

Real-Time Driver Drowsiness Identification Based on Eye-State Analysis

Navya Chowdary Rayineedu, Afrin Bano, Mounika Uppalapati, Bhargavi Vemula, Chandra Mohan Chetla
2022 International Journal for Research in Applied Science and Engineering Technology  
Machine Learning has brought progression in video processing which enables images to be analysed with accuracy. Keywords: Drowsiness detection, OpenCV, Dlib, Driver Drowsiness, Eye-state analysis.  ...  Abstract: Driving while being drowsy has become one of the major reasons of causing road accidents.  ...  The focus will be placed on designing a system that will accurately monitor the open or closed state of the driver's eyes in real-time.  ... 
doi:10.22214/ijraset.2022.42853 fatcat:ulbjdir4drdhdcu47w7xuuw7iq

Real time Drowsy Driver Detection using Polynomial Kernel based Support Vector Machine

Makhan Ahirwar
2021 International Journal for Research in Applied Science and Engineering Technology  
If any of the system automatically detects the driver's drowsiness and alert at real time may secure many lives.  ...  There are various techniques through which drowsiness can be detected at real time but accuracy matters.  ...  at real time for drowsiness detection.  ... 
doi:10.22214/ijraset.2021.38106 fatcat:eefnqy3lbvdeje2qqz3c4hphhe

Real-time Driver Drowsiness Detection with Android

Dr. Jayshree Pansare, Ranjeet Deshpande, Shubham Shingare, Harshal Deokar, Piyush Manwar
2022 International Journal for Research in Applied Science and Engineering Technology  
In this detection approach, we developed an android app that utilizes image processing technology and analyse all the images captured through the user's phone camera.  ...  This research paper presents a cost efficient approach to detect driver fatigue and monitor dizziness/drowsiness in real-time.  ...  As we have initially developed this Real-time Driver Drowsiness Detection Android Application for the Android users to detect face and eyes closure.  ... 
doi:10.22214/ijraset.2022.42210 fatcat:fm4eieg6lfhzbk4fnla6km56fi

Driver Drowsiness Detection System

Manjunath S, Banashree P, Shreya M, Sneha Manjunath Hegde, Nischal H P
2022 International Journal for Research in Applied Science and Engineering Technology  
In this paper, we proposed a method for extracting detailed features of the eyes, the mouth, and positions of the head using OpenCV and Dlib library in order to estimate a driver's level of drowsiness.  ...  Recent developments in video processing using machine learning have enabled images obtained from cameras to be analysed with high accuracy.  ...  Kose1, Okan Kopuklu2 , Alexander Unnervik3 and Gerhard Rigoll4 18 Jul 2019 CNN Based Spatio-Temporal Approach They Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection  ... 
doi:10.22214/ijraset.2022.42109 fatcat:tczyrxfcsjfnbmnyvbwuqdoxui

Review on Drowsiness Detection

Apoorva Apoorva, D Vali, Rakesh R
2018 EAI Endorsed Transactions on Smart Cities  
Also, the discovery of drowsiness with eyes open is conceivable. In countenance detection technology, driver weariness recognition is one of the major possible businesses uses.  ...  Many technologies are used for detecting the weariness of the driver. It is a review paper of numerous advancements utilized by various scientists. In addition, human conduct can also be studied.  ...  Real-Time Nonintrusive Monitoring and Detection of Eye Blinking in view of Accident Prevention due to Drowsiness In this paper, 18% of mishaps including drowsiness are the primary factor stated in review  ... 
doi:10.4108/eai.13-7-2018.165517 fatcat:pqo4mze4zrdb7h26n43z5chblu

Morphology based Facial Feature Extraction and Facial Expression Recognition for Driver Vigilance

K. S.ChidanandKumar
2012 International Journal of Computer Applications  
Therefore, the use of assistive systems that monitor a driver's level of vigilance and alert the driver in case of drowsiness and distraction can be significant in the prevention of accidents.  ...  The parameters used for detecting fatigue are: eye closure duration measured through eye state information, head movement through orientation of head ellipse and yawning analyzed through mouth state information  ...  The driver-drowsiness level via eye status is measured through PERCLOS [14] , which is the percentage of eye closure time during a certain time interval.  ... 
doi:10.5120/8014-1142 fatcat:cqulv73uzzf6plscr4ussbzwbm

Real-Time Warning System for Driver Drowsiness Detection Using Visual Information

Marco Javier Flores, José María Armingol, Arturo de la Escalera
2009 Journal of Intelligent and Robotic Systems  
Examples of different images of drivers taken in a real vehicle are shown to validate the algorithm.  ...  The aim of this system is to locate, to track and to analyze the face and the eyes to compute a drowsiness index, working under varying light conditions and in real time.  ...  Acknowledgements This work was supported in part by the Spanish Government through the CICYT projects VISVIA (Grant TRA2007-67786-C02-02) and POCIMA (Grand TRA2007-67374-C02-01).  ... 
doi:10.1007/s10846-009-9391-1 fatcat:ipd3i4h6njfgdjxopm6tbi2qhq

Enhanced Image Processing and Fuzzy Logic Approach for Optimizing Driver Drowsiness Detection

Wasin AlKishri, Abdallah Abualkishik, Mahmood Al-Bahri, Soumya Ranjan Nayak
2022 Applied Computational Intelligence and Soft Computing  
This study aims to design a nonintrusive real-time drowsiness system based on image processing and fuzzy logic techniques.  ...  It extracted eye blink duration and mouth features to detect driver drowsiness based on the desired facial feature image in a specific driver video frame.  ...  Online Data Analysis and Training for the Eye and the Mouth. In this section, the system focused on the analysis of real-time driver drowsiness detection.  ... 
doi:10.1155/2022/9551203 fatcat:k65e35x3yjc2bpg6lmyagewssa
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