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27 articles for “Drowsy”
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Driver Drowsiness Detection using Face Monitoring and Pressure Measurement
Abstract: Fatigue driving is the driver, after long periods of continuous driving, experiences mental and physical functional disorder. The international statistics shows that it is one of the major causes of accidents in the world. Detecting the drowsiness of the driver can issue timely warning that could help in preventing many accidents. In this research a system is designed to detect the drowsiness of a driver through face monitoring techniques and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 12–18 Read article
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IoT-based Smart Drowsiness Detection and Alert System
Abstract: Drowsiness detection systems are necessary in the current era, as drowsy driving contributes to about 20% of all traffic accidents. Approximately 50,000 people have accidents due to drowsy driving annually. Because driving when tired is dangerous, new strategies must be devised to mitigate the impact. Our system is a microcontroller-based system for protecting drivers from unsafe driving based on the physiological parameter of eye blinking. The proposed system detects the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 45–50 Read article
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Driver Drowsiness Detection System Using Python, OpenCV and Raspberry Pi
Abstract: The number of accidents and deaths can be greatly decreased by using intelligent systems to prevent auto accidents. Human mistakes, such as drowsy driving, are one of the variables that significantly contribute to accidents. The system looks for symptoms of fatigue and sleepiness on a person's face while they are driving. It is based on an image processing technique. This project presents a way to analyze and anticipate driver drowsiness …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 2, 2023 · pp. 6–15 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Drowsy Driver Detection
Abstract: AbstractThis paper depicts a design for one of the big problems everyone face while driving. We humans can feel drowsiness while driving which leads to road accidents. According to a media report, 4.61 lakh road accidents were reported in India during 2018 this data requires our attention. This paper presents a solution for the same and a proposed solution for the detection drowsiness condition when the driver feels sleepy which …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 1, 2020 · pp. 5–9 Read article
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Driver Drowsiness Alert System
Abstract: In the present era, the increasing frequency of accidents during prolonged road trips, primarily attributed to driver fatigue, is a matter of serious concern. Recognizing this challenge, our goal is to develop a driver drowsiness alert system to effectively address and alleviate these incidents. Theproposed system utilizes a webcam to capture real-time images of the driver's eyes, employingmachine learning algorithms to promptly identify signs of fatigue. Upon detecting drowsiness, the …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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ADAS Implementation & Drowsiness Detection in Vehicle
Abstract: Driver fatigue is a leading cause of road accidents, especially in public and commercial transportation, posing serious risks to passenger and pedestrian safety. To address this critical safety issue effectively, this research study presents an AI-powered ADAS designed specifically for BS6-compliant buses, using real-time fatigue detection to prevent accidents. The system integrates a Raspberry Pi equipped with an AI Hat+ module to monitor driver drowsiness by detecting prolonged eye closures …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 28–36 Read article
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DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article
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Detection System for Driver Somnolence
Abstract: Driver fatigue detection may be a vehicle device that aids in preventing accidents brought on by drowsy driving. numerous studies have schooled that around simple fraction of all road accidents a fatigue-related, up to one-half on bound roads. Many of these devices track driver behavior and can detect when a driver starts to feel sleepy. In the field of accident avoidance systems, the development of technology for the identification or …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 20–25 Read article
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Advanced Eye State Analysis for Bus Driver Fatigue Detection
Abstract: By using this method, we want to increase road safety by reducing the number of accidents caused by drowsy driving. The automatic identification of driving weariness is handled by this technology, which is based on optical data and artificial intelligence. We locate, track, and look at the driver's face and eyes to measure PERCLOS (% of eye closure) with Soft Max for the neural transfer function. Driver fatigue is one …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 33–37 Read article
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Speed Control and Accident Avoidance of Vehicles Using IoT
Abstract: Life is precious and there is nothing more unfortunate than to lose it to someone’s carelessness. Road accidents are the global tragedy of the ever-rising trend and even innocent school students fall prey to it. According to WHO report, India has the highest number of road accident deaths in the world. It is sad that over 1.3 lakh people in our country lost their lives in road accidents in 2016 …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 62–67 Read article
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Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts
Abstract: The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 7–11 Read article
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DRIVER ANTI-SLEEP ALARMING AND PROTECTION
Abstract: Road accidents due to driver drowsiness is one of the biggest problems worldwide, which kills thousands of people every year. Fatigue slows the reaction time, reduces the concentration, and, most importantly, impairs the judgment, thus making drowsy driving as dangerous as drunk driving. To reduce such accidents, various technologies have been employed to develop driver anti-sleep devices. These include sensor-based detection, camera-based eye monitoring, EEG analysis, and real-time alert systems. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Accident Prevention System Using Multisensors
Abstract: In developing countries, one of the main The reason for death is road accidents. Especially in a diverse country like India we can see all types of terrains and slopes which are sometimes difficult to drive on [1]. For humans while driving the primary concern is always safety Therefore, we should be always extra cautious whenever we are driving. But accidents are not only caused by not only by external …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 1, 2021 Read article
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Driver’s Safety Technology Using Machine Learning
Abstract: Nowadays, machine learning is mostly used in personalized recommendation systems. The use of machine learning to model the complex user-item interaction function is a trend in the current recommendation domain. This study outlines research carried out in the realm of computer science and engineering to develop a system for detecting driver drowsiness. The main aim is to prevent majority of traffic accidents caused by driver fatigue and drowsiness, fire and …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 30–37 Read article
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An Experimental Analysis on Enhancement of Electric Vehicle Safety using ADAS Technology and Forward Collision Avoidance with an Automatic Braking System
Abstract: The rapid expansion of the automobile sector in developing nations has intensified road safety concerns, particularly in congested urban environments where human error accounts for approximately 90% of all accidents. This paper presents and experimentally validates an integrated Advanced Driver Assistance System (ADAS) for electric vehicles comprising three complementary safety modules: a Forward Collision Avoidance System (FCAS) employing an HC-SR04 ultrasonic sensor interfaced with an Arduino Uno R3 to detect …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–30 Read article
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Quality of Sleep Among Patients with Chronic Renal Failure
Abstract: Renal failure is the partial or complete impairment of kidney function. Inability to eliminate metabolic waste products and water, along with functional disruptions in all bodily systems, result in the condition known as renal failure. Renal failure can be categorized as either acute or chronic. Chronic renal failure refers to the gradual and irreversible deterioration of the nephrons in both kidneys. It is characterized by either kidney damage or a …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 22–28 Read article
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Effective Homoeopathic Management of Allergic Rhinitis: A Case Series Utilizing Hepar Sulph 30 and Histamine 30 with Dietary Modifications
Abstract: Background: Allergic rhinitis (AR), means our immune system intruded by some allergens which is typically a harmless substance. These allergens are found in the air we breathe, in the food we eat, in the water and fluids we drink. These allergens are attacking on our immune system and the immune system responds to the allergens by releasing histamine and chemical mediators that cause symptoms in the nose, throat, eyes, ears, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 12–16 Read article
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Recycling of Expired Chemical Drugs and Controlling of Organic Chemical Compounds
Abstract: Expired chemicals in chemical medicines represent a big problem in chemical medicines and we must find ways to treat expired medicines. It proposes a new technology for reuse instead of burying it with ordinary waste or instead of burning it in the ovens of the soil company, The side effects of an expired medicine (its chemical substances are out of date and ineffective in healing) are any unwanted effects of …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 2, 2024 · pp. 12–20 Read article