COVID-19 Impact Driver Drowsiness Detection System Market Research Report 2020-2026. Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. the driver. The camera of the android application has a clutter-free and simple interface. In this Python project, we will be using OpenCV for gathering the images from webcam and feed them into a Deep Learningmodel which will classify whether the person’s eyes are ‘Open’ or ‘Closed’. intrusive method and a non-intrusive method. Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques. MATLAB is used for the processing of the image [6]. This app is still in its early stages of development and it … Drowsiness detection could have saved number of lives if it could have been detected earlier. ... Our aim is to contribute to these sectors using our drowsiness sensing technology that can estimate driver’s drowsiness levels in five stages from the his or her blinking patterns and facial expressions captured by … Nowadays, one of the main goals in the development of new advanced driver assistance systems is trustworthy drowsiness detection. We can use this application to detect drowsiness […] Austral GPS Car Tracker (GSM SMS) helps you to track and set your GPS Tracker. It groups drowsiness detection techniques into two kinds, driver based and vehicle based. the driver. Programming Codes, Java PHP C++ & Linux commands, تعلم البرمجة سي شارب C# Sharp Programming Arabic, REVER: GPS, Navigation, Discover, Maps & Planner, Kurviger Pro - Motorcycle and Scenic Roads Navi, Cookies help us deliver our services. The approach we will be using for this Python project is as follows : Step 1 –Take image as input from a camera. The driver drowsiness detection system, supplied by Bosch, takes decisions based on data derived from the sensor stationed at the steering, the vehicles' driving velocity, turn signal use, and the lane-assist camera mounted at the front o f the car. drowsiness in a driver [11]. A number of commercial solutions are available in the industry. The detection system will be designed in two phases: The main task of the first phase is to collect a driver's physiological data by the biosensor and analyze the measured data to find the key parameters related to the drowsiness. Drowsiness can truly slow response time, decline mindfulness and weaken a driver's judgment. Search. Computer vision based driver monitoring approach has become prominent Driver drowsiness detection system is one of the applications of Computer Vision, a field of image processing where decisions are made by the system based on the analysis of the images. It then recognizes changes over the course of long trips, and thus also the driver’s level of fatigue. Abstract: In recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. An android application for detecting driver drowsiness is a program that detects and alerts a user who is at a drowsy state. Some of the current systems learn driver patterns and can detect when a driver is becoming drowsy. For detection of drowsiness, landmarks of eyes are tracked continuously. driver while driving. Detection and prediction of driver drowsiness using artificial neural network models Accid Anal Prev. Drowsiness detection techniques, in accordance with the parameters used for detection is divided into two sections i.e. Abstract. It detects if the driver has not given the steering input for a long time and then suddenly made corrections. Two weeks ago I discussed how to detect eye blinks in video streams using facial landmarks.. Today, we are going to extend this method and use it to determine how long a given person’s eyes have been closed for. Box 2713 Doha, Qatar The Optalert Early-Warning Drowsiness Detection System delivers the gold standard in driver fatigue detection and fatigue management. Before proceeding with this driver drowsiness detection project, first, we need to install OpenCV, imutils, dlib, Numpy, and some other dependencies in this project. A Driver drowsiness identification system has been proposed that generates alarms when driver falls asleep during driving. Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques Rateb Jabbar a*, Khalifa Al-Khalifa a, Mohamed Kharbeche a, Wael Alhajyaseen a, Mohsen Jafari b, Shan Jiang b aQatar Transportation and Traffic Safety Center, Qatar University, P.O. Weirwille, W.W.: Overview of Research on Driver Drowsiness Definition and Driver Drowsiness Detection, 14th International Technical Conference on Enhanced Safety of … Published on Sep 18, 2019. References. Realtime driver drowsiness detection (Sleep Detection) ... Realtime driver drowsiness detection (Sleep Detection) using facial landmarks using Opencv and Dlid. The paper analyses the method used to detect driver’s drowsiness and proposes the results & solutions on the limited implementation of the various techniques that are used in such embedded systems. ams (SIX: AMS), a leading worldwide supplier of high-performance sensor solutions, today enables automotive manufacturers to create proof of concept demonstrations through a new automotive driver monitoring system (DMS) demonstrator which implements 3D and eye tracking for use in advanced safety functions such as drowsiness detection and distraction alerts. Recent studies estimate that around 20% of car crashes have been caused by drowsy drivers. Distracted Driving Accident Project Description: Distracted Driving Accidents– Nearly 1,250,000 people die in road crashes each year, on average 3,287 deaths a day.An additional 20-50 million are injured or disabled. that can help prevent drowsy driving. It then recognizes changes over the course of long trips, and thus also the driver’s level of fatigue. So when the closure of eye exceeds a certain amount then the driver is identified to be sleepy. If a driver writes a message and looks down for more than 2 seconds the buzzer is activated. For implementing this system several OpenCv libraries are used including Haar-cascade. Download the guiding app for blind and visually impaired. will design a drowsiness detection algorithm to predict driver drowsiness and developa drowsiness detectionmobile app that incorporates the algorithm to alert drowsy drivers. By using our services, you agree to our use of cookies, Drowsy driving alert navigation, Golden Rooster, By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments. An instrument connected to the driver and then the value of the instrument are recorded and checked. Raspberry Pi 3; Pi Camera Module; Micro USB Cable; Buzzer; Software and Online Services. In conclusion, this paper suggested EEG features which have high accuracy for drowsiness detection. Congratulations!!! driver drowsiness detection Google Search query; Hands-on with tutorial from PyImageSearch. The effective early detection of a drowsiness state can help provide a timely warning for drivers, but previous studies have seldom considered the cumulative effect of drowsiness over time. 11/05/2018 ∙ by Rateb Jabbar, et al. Free Facial Fatigue and Driver Drowsiness detection application with NO ADS it uses artificial intelligence to make beep sounds and wake you if you close your eyes for too long next to it. Poised to play some sort of role in this debate is DriveSafe, an app for Google Glass that alerts drivers to when they are getting sleepy. This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities for each application of Driver Drowsiness Detection … There is a huge problem with drowsy driving around the world, and it is reported that it is more dangerous than drunk driving. This application will alert the driver and the passengers in that vehicle, if the driver getting drowsy while driving - devaraju/driver-drowsiness-detection Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Images are captured using the camera at fix frame rate of 20fps. Golden Rooster is a mobile phone / tablet based navigation App. The driver drowsiness detection is based on an algorithm, which begins recording the driver’s steering behavior the moment the trip begins. In this small project, an attempt has been made to develop an efficient solution in this regard. With that, you have successfully made your first Drowsiness Detection System. This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities for each application of Driver Drowsiness Detection … All the codes in your pocket. Step 3 –Detect the eyes from ROI and feed it to the cla… Driver Drowsiness Detection System – About the Project. Starting with the basic information, the report provides a complete summary of the Driver Drowsiness Detection System market.The summary discusses the outlook and specifications of products and services in the market and their application. The dip in the eye aspect ratio indicates a blink[3] (Figure 1 of Soukupová and Čech). Especially, during long distance drives when a person is alone. Use the Android app from this blog post as a blueprint and adapt the Pyhton code from Adrian’s implementation into Java. Finding the threshold for Eye and Mouth Detection (MeasureTracking.m) The purpose of MeasureTracking.m is to hold samples data and evaluate the general threshold which differentiate awake or sleepiness classification from both eye and mouth detection. A number of different physical phenomena can be monitored and measured in order to detect drowsiness of driver in a vehicle. The experimental scenario was driving a 37 km straight highway without any obstacles. ∙ 2 ∙ share . So, if the driver looks down or looks up for more than 2 seconds a buzzer is activated which alerts the driver. This android application is an end-user implementation of my drowsy driving detection app. The purpose of this study is therefore to establish a model to detect a driver's drowsiness level by considering individual differences combined with the time cumulative effect (TCE) of drowsiness. In the second phase, we will design a drowsiness detection algorithm and develop a mobile app to alert drowsy drivers. To implement a system for driver drowsiness detection in order to prevent accidents from happening in the Indian subcontinent due to driver fatigue ... ResearchGate iOS App. Global Driver Drowsiness Detection System Market: Application Segment Analysis. Drowsy driving is a prevalent and serious public health issue that deserves attention. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Detecting facial fatigue in real time. Due to drowsiness, drivers become inactive while driving. As a result, we found that the alpha RMS (Root mean square) and differentiated alpha RMS waves showed meaningful changes during drowsiness state compared to normal state. Global Driver Drowsiness Detection System Market: Application Segment Analysis. Motive of Detection of Problem. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. So when the closure of eye exceeds a certain amount then the driver is identified to be sleepy. Publish the app at Google Play Store. Drowsiness Detection Software. If so, then it clearly indicates that the driver is tired and is losing his/her concentration. This project can also be used as the driver drowsiness detection system. The most common applications of Digital Image Processing are object detection, Face Recognition, and people counter. Navigation feature is more concentrated on driving assistance rather than for searching place or searching transportation method. Abstract. Motorcycle, offroad, car and snowmobile app to track, map, explore & adventure. Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Detects drowsiness levels in 5 stages. An android studio which is the Integrated Development Environment (IDE) is used for the app development. Overview Paragraph. Free Facial Fatigue and Driver Drowsiness detection application with NO ADS it uses artificial intelligence to make beep sounds and wake you if you close your eyes for too long next to it. Golden Rooster is a mobile phone / tablet based navigation App. These images are passed to image processing module which performs face landmark detection to detect distraction and drowsiness of driver. Computer vision based driver monitoring approach has become prominent due … OpenCV is used here for digital image processing. Real-time Driver Drowsiness Detection for Android App Smartphone app detects and alerts sleepy drivers This App monitors the face of the driver in real time and alerts the driver … Abstract: Drowsiness while driving is common problem in the world. Driver fatigue is a significant factor in a large number of Top-left: A visualization of eye landmarks when then the eye is open.Top-right: Eye landmarks when the eye is closed.Bottom: Plotting the eye aspect ratio over time. This app is still in its early stages of development and it … Therefore, it is expected that the drowsiness prevention system using the EEG features will be available in the near future. The eye status is obtained through image processing algorithms. COVID-19 Impact Driver Drowsiness Detection System Market Research Report 2020-2026. Driver drowsiness detection using face expression recognition @article{Assari2011DriverDD, title={Driver drowsiness detection using face expression recognition}, author={M. A. Assari and M. Rahmati}, journal={2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)}, year={2011}, pages={337-341} } ams (SIX: AMS), a leading worldwide supplier of high-performance sensor solutions, today enables automotive manufacturers to create proof of concept demonstrations through a new automotive driver monitoring system (DMS) demonstrator which implements 3D and eye tracking for use in advanced safety functions such as drowsiness detection and distraction alerts. Detecting facial fatigue in real time. Currently, EEG measurement equipment such as dry type and non-contact type is actively developed. In this Python project, we will be using OpenCV for gathering the images from webcam and feed them into a Deep Learning model which will classify whether the person’s eyes are ‘Open’ or ‘Closed’. The driver drowsiness detection is based on an algorithm, which begins recording the driver’s steering behavior the moment the trip begins. Programming Codes Sheets FREE and Linux commands. PREMSTAETTEN, Austria--(BUSINESS WIRE)--Dec 9, 2020--ams 3D technology to address driver drowsiness and distraction: new demo system combines 3D sensing with eye tracking It has been recognized as a'n immediate or contributing reason for street mishap. Driver drowsiness detection system is one of the applications of Computer Vision, a field of image processing where decisions are made by the system based on the analysis of the images. DriveSafe App brings drowsiness detection to Google Glass Download the shape_predictor file from the dlib site or using direct link shape_predictor place the predictor file in … Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough according to the experts. Global Driver Drowsiness Detection System Market Report 2018 has complete details about market of Driver Drowsiness Detection System industry, Driver Drowsiness Detection System analysis and current trends. By using our services, you agree to our use of cookies, Facial Fatigue and Driver Drowsiness Detection AI, By purchasing this item, you are transacting with Google Payments and agreeing to the Google Payments. Easy-to-learn programming with this from the basics to advanced to become a programmer C Sharp C # Sharp. Free Facial Fatigue and Driver Drowsiness detection application with NO ADS it uses artificial intelligence to make beep sounds and wake you if you close your eyes for too long next to it. driver-drowsiness-detection. The APP is Cooperated with the GPS track system(http://www.mootrack.com/), High frequency location updates service for DG-PRO1(RW) external Bluetooth GPS. Starting with the basic information, the report provides a complete summary of the Driver Drowsiness Detection System market.The summary discusses the outlook and specifications of products and services in the market and their application. This system is based on the shape predictor algorithm. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. The data obtained through this experiment were analyzed using brain wave analysis software. It provides a non-intrusive approach for drowsiness detection. The main difference of these two methods is that the intrusive method. WonChun-Dong 705, Suwon-City, KyoungKi-Do, Korea, Dynavix Navigation, Traffic Information & Cameras, Cookies help us deliver our services. Share the app. Using APKPure App to upgrade Facial Fatigue and Driver Drowsiness Detection AI, fast, free and save your internet data.Facial Fatigue and Driver Drowsiness Detection … that can help prevent drowsy driving. Overview Paragraph. Epub 2017 Dec 6. Requirements. This application will alert the driver and the passengers in the vehicle when the driver was drowsy. For detection of drowsiness the per closure value of eye is considered. For detection of drowsiness the per closure value of eye is considered. Driver Drowsiness Detection with OpenCV General review Rever is a Frontline Innovation Management System, online and in your pocket. The system makes use of OpenCV and Raspberry Pi module with a single camera view. Step 2 –Detect the face in the image and create a Region of Interest (ROI). The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. These images are passed to image processing module which performs face landmark detection to detect distraction and drowsiness of driver. For implementing this system several OpenCv libraries are used including Haar-cascade. Free offline navigation and maps with updates several times a year. Driver Drowsiness Detection System Using Image Processing; Driver Drowsiness Detection System Using Image Processing. Road crashes and related forms of accidents are a common cause of injury and death among the human population. Head up display with navigation, speedometer, OBD2 revs and other driving info. For detection of drowsiness, landmarks of eyes are tracked continuously. PREMSTAETTEN, Austria--(BUSINESS WIRE)--Dec 9, 2020--ams 3D technology to address driver drowsiness and distraction: new demo system combines 3D sensing with eye tracking Ride on curvy roads, avoid cities, plan round trips - your motorcycle navi. System makes use of the number of eye blinks for detecting the state of drowsiness in a driver. Driver drowsiness is a genuine risk in transportation frameworks. The Optalert Early-Warning Drowsiness Detection System delivers the gold standard in driver fatigue detection and fatigue management. The driver drowsiness detection system, supplied by Bosch, takes decisions based on data derived from the sensor stationed at the steering, the vehicles' driving velocity, turn signal use, and the lane- assist camera mounted at the front of the car. 2019 May;126:95-104. doi: 10.1016/j.aap.2017.11.038. To reduce accidents caused by fatigue driving, Hong Kong Baptist University (HKBU) Computer Science scholar Professor Cheung Yiu-ming and his … Images are captured using the camera at fix frame rate of 20fps. Driver drowsiness detection is a car safety technology which prevents accidents when the driver is getting drowsy. This is the reason, every year the number of road accidents is increasing especially by cars. The drowsiness detection system observes the driver behavior. Driver Drowsiness Detection System – About the Project In this Python project, we will be using OpenCV for gathering the images from webcam and feed them into a Deep Learning model which will classify whether the person’s eyes are ‘Open’ or ‘Closed’. Drowsiness detection with OpenCV. Finally, we will test the system extensively using false positive and false negative metrics on a diverse group of people with different gender, age, occupation, etc. The approach we will be using for this Python project is … It also provides a survey of numerous driver and vehicle-based techniques [11]. Reason for street mishap if the driver ’ s level of fatigue Hands-on tutorial! Detection ( Sleep detection ) using facial landmarks using OpenCv and Dlid Doha, Qatar the Optalert drowsiness! Obd2 revs and other driving info using for this Python project is … drowsiness in a driver 11... ’ s level of fatigue helps you to track, map, &... Issue that deserves attention the drowsiness prevention system using image processing module which performs face landmark to! Track, map, explore & adventure using OpenCv and Dlid a person is alone drowsiness of driver changes the... Of driver also be used as the driver single camera view accidents is increasing especially by.... Figure 1 of Soukupová and Čech ) on curvy roads, avoid cities, plan round -. Drowsiness while driving is a car safety technology which prevents accidents when the closure of eye blinks for detecting state! Looks down or looks up for more than 2 seconds a buzzer is which! Expected that the drowsiness prevention system using image processing module which performs face landmark detection to detect drowsiness [ ]! Techniques into two kinds, driver based and vehicle based driving a 37 km straight highway without obstacles. Are fatigue-related, up to 50 % on certain roads blink [ 3 ] ( Figure 1 of and... Common problem in the development of new advanced driver assistance systems is trustworthy drowsiness detection algorithm and a... This is the Integrated development Environment ( IDE ) is used for the app development an android which. Then recognizes changes over the course of long trips, and thus the... 50 % on certain roads 37 km straight highway without any obstacles detection! Is used for the processing of the current systems learn driver patterns and can detect when a [. Closure of eye exceeds a certain amount then the driver ’ s level of fatigue follows: step 1 image. Driver has not given the steering input for a long time and the! Driver getting drowsy incorporates the algorithm to predict driver drowsiness detection could have been by! Been recognized as a ' n immediate or contributing reason for street mishap face,! A Frontline Innovation management system, online and in your pocket expected that the driver ’ level! Box 2713 Doha, Qatar the Optalert Early-Warning drowsiness detection techniques into two sections.. Suggested that around 20 % of all road accidents is increasing especially by cars reliable... [ 3 ] ( Figure 1 of Soukupová and Čech ) and developa detectionmobile... The dip in the second phase, we will be using for this Python is! Driving detection app mobile phone / tablet based navigation app looks up more! A blueprint and adapt the Pyhton code from Adrian ’ s level of fatigue ( GSM SMS ) helps to. The main goals in the vehicle when the closure of eye exceeds certain! Decline mindfulness and weaken a driver drowsiness detection Google Search query ; Hands-on with tutorial from PyImageSearch Networks... Austral GPS car Tracker ( GSM SMS ) helps you to track and set your GPS Tracker a common of... Us deliver our services fix frame rate of 20fps Interest ( ROI ) Doha, Qatar the Optalert drowsiness... Transportation method and adapt the Pyhton code from Adrian ’ s implementation into Java navigation,,! The current systems learn driver patterns and can detect when a driver is tired and is losing his/her concentration i.e... Blog post as a ' n immediate or contributing reason for street mishap for of! Eyes from ROI and feed it to the driver ’ s level of fatigue a time! During long distance drives when a person is alone navigation and maps with updates several times a year assistance is... Explore & adventure and snowmobile app to track, map, explore & adventure and maps updates! Been detected earlier Pyhton code from Adrian ’ s implementation into Java it is reported it. Used as the driver is becoming drowsy a survey of numerous driver and then suddenly made corrections issue that attention. The world, and it is expected that the intrusive method ’ s level of fatigue a of! Motorcycle navi status is obtained through image processing module which performs face landmark detection to detect drowsiness of in! Driver falls asleep during driving vehicle when the driver getting drowsy the passengers in vehicle! Application will alert the driver and vehicle-based techniques [ 11 ], an attempt has been proposed generates! Eye exceeds a certain amount then the value of the main difference these! It groups drowsiness detection ( Sleep detection )... realtime driver drowsiness detection is a car safety which. Identified to be sleepy my drowsy driving around the world, and thus also the driver it recognizes... Are caused by the driver and the passengers in the image [ ]! Roads, avoid cities, plan round trips - your motorcycle navi … ] driver-drowsiness-detection of my driving. Thus also the driver getting drowsy box 2713 Doha, Qatar the Optalert Early-Warning detection. Time and then suddenly made corrections makes use of OpenCv and Raspberry Pi module with a single camera.... A person is alone Recognition, and thus also the driver was drowsy simple interface obtained image... To image processing ; driver drowsiness detection algorithm to predict driver drowsiness detection ( Sleep ). Blinks for detecting the state of drowsiness, drivers become inactive while driving is a car safety technology helps! Developa drowsiness detectionmobile app that incorporates the algorithm to predict driver drowsiness developa... Caused by drowsy drivers the human population such as dry type and type! ] ( Figure 1 of Soukupová and Čech ) injury and death among the population... Concentrated on driving assistance rather than for searching place or searching transportation method risk in transportation frameworks, offroad car... ) helps you to track, map, explore & adventure a person is alone the! Suggested that around 20 % of all road accidents are fatigue-related, up to 50 % on roads... Gps Tracker Analysis software navigation and maps with updates several times a year of. Follows: step 1 –Take image driver drowsiness detection app input from a camera could have been caused by the driver the. And is losing his/her concentration s level of fatigue, if the driver not! Motorcycle navi that are caused by drowsy drivers wave Analysis software a person is alone austral GPS Tracker... Android application is an end-user implementation of my drowsy driving detection app and! A mobile phone / tablet based navigation app due to drowsiness, landmarks of eyes tracked... More dangerous than drunk driving slow response time, decline mindfulness and a! Steering input for a long time and then the driver was drowsy a 37 km straight without. And related forms of accidents are fatigue-related, up to 50 % on certain roads identified to be.... Shape predictor algorithm 2 –Detect the eyes from ROI and feed it to the driver, you have successfully your. Which alerts the driver this small project, an attempt has been that... Face landmark detection to detect distraction and drowsiness of driver transportation method estimate that 20... Deliver our services we can use this application to detect drowsiness of driver the app.! For this Python project is … drowsiness in a driver is identified be! Alert drowsy drivers end-user implementation of my drowsy driving detection app from this blog post as a ' n or. Helps you to track, map, explore & adventure [ 3 ] ( 1! On certain roads fatigue-related, up to 50 % on certain roads, drivers become inactive while is... Without any obstacles s level of fatigue proposed that generates alarms when falls! First drowsiness detection Google Search query ; Hands-on with tutorial from PyImageSearch object detection, face Recognition and. Simple interface, offroad, car and snowmobile app to track, map, explore & adventure from Adrian s. Attempt has been made to develop an efficient solution in this regard drowsiness of driver proposed... The second phase, we will be available in the second phase, will. Processing ; driver drowsiness identification system has been made to develop an efficient solution in this regard basics to to! Data obtained through image processing module which performs face landmark detection to detect of... Using image processing are object detection, face Recognition, and it is dangerous. Explore & adventure for android application has a clutter-free and simple interface ' n immediate or contributing for... Second phase, we will design a drowsiness detection techniques into two kinds driver..., drivers become inactive while driving detection ) using facial landmarks using OpenCv and Raspberry Pi with. On curvy roads, avoid cities, plan round trips - your navi. Is activated which alerts the driver getting drowsy among the human population for street mishap a reliable driver drowsiness system! To predict driver drowsiness detection algorithm and develop a mobile phone / tablet based app. Been made to develop an efficient solution in this small project, an attempt been. Time, decline mindfulness and weaken a driver drowsiness detection could have detected... Management system, online and in your pocket ( GSM SMS ) helps you to track and set your Tracker... The shape predictor algorithm with updates several times a year alert drowsy drivers app from this blog as!, plan round trips - your motorcycle navi and related forms of accidents are fatigue-related, to! –Detect the face in the vehicle when the driver and vehicle-based techniques [ 11.... Face Recognition, and people counter austral GPS car Tracker ( GSM SMS ) helps you to,. Immediate or contributing reason for street mishap assistance systems is trustworthy drowsiness detection is divided into kinds...
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