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19 articles for “eye blinking”
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A Real-time Automated Drowsiness Detection of Driver Using the Visual Behaviour and Machine Learning Technique Through WebCam
Abstract: In our day-to-day life, many accidents can occur due to the drowsiness of the driver. It is one of the causes of road accidents. To prevent accidents, we proposed a system to detect the drowsiness of driver by measuring the eye aspect ratio, mouth yawning and alert the driver. It will save the life of a person. In this, the driver fatigue is continuously captured by webcam. Image processing methods …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 10–19 Read article
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Driver Observation and Automatic Braking System Using Arduino
Abstract: Autonomous braking systems and driver observation are two important developments in car safety technology that are intended to reduce accidents brought on by tired drivers. An eye blink sensor has been incorporated in the device. The sensors recognize an eye blink automatically once the driver starts the engine. This gadget displays the sensor's output so that it may be compared to the Arduino. The eye blink sensor gets a signal …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Real-Time Driver Drowsiness Detection and Alert Module Using Arduino
Abstract: Driver fatigue is one of the leading reasons behind road accidents because it reduces driver attention, slows reaction time, and affects decision-making ability while driving. To address this issue, a real-time fatigue detection and alert system has been developed using Arduino-based embedded technology. The proposed framework continuously monitors the driver’s eye activity with the help of an infrared eye blink sensor, which detects eyelid movement and eye closure patterns during …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 34–42 Read article
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Attendance System Using Smartphone Authentication and Bluetooth Beacons
Abstract: AbstractMost of the institute in India takes attendance to track the progress of students and most of them update attendance manually which is just a waste of time. Some of the methods like Biometric, RFID can be implemented but it takes a lot more time and also has a chance of spreading the deadly virus like Sars-Cov-2 [1]. This paper is aimed at updating attendance of students using the student’s …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 10–15 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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Smart Accident Avoidance System based on Alcohol and Heartbeat Detection
Abstract: AbstractIn our project, we are introducing a new smart system that will detect drunken persons and abnormal condition persons by alcohol sensor and heartbeat sensor. GSM system is used to send a message to the police station and relevant numbers for immediate action. GPS based system is used here to track those cars. Alcohol sensor detects the drunken persons before the ignition of the car, the car’s ignition will immediately …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 2, 2019 · pp. 27–31 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Artificial Intelligence in Cerebellum Activation
Abstract: Neuroscience plays a significant function during the progression of artificial intelligence. It provided inspiration for the development of human-like AI. There are two ways that neuroscience encourages us to develop AI systems. Neural networks that replicate human cognition and those that match the structure of the brain are the two objectives. Neural networks, which draw inspiration from the architecture of the human brain, are the engine behind contemporary artificial intelligence …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 14–26 Read article
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An IoT-Based Integrated Vehicle Safety System for Accident Detection and Driver Monitoring
Abstract: Driver fatigue, alcohol and slow response of emergency services are among a significant issue of road accidents. The paper will provide a real-life example of an IoT-based vehicle safety system, which will combine the accident detection, driver drowsiness and alcohol sensors with a cohesive system. The proposed system consists of use of accelerometer for sudden collision detection, infrared eye blink sensor for determining alertness of the driver and MQ-3 alcohol …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 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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Detection of Criminal Traces during Forced Iris Authentication
Abstract: AbstractAlthough iris recognition system is considered as most robust, hard to counterfeit and the most secure system of biometric authentication. However the existing system fails to detect a forced authentication which might be misused by criminals to unlock the user's account. In this paper we examine the conditions in which a real user is forcibly presented in front of iris scanner on gun point to unlock the account. In this …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 3, 2018 · pp. 10–18 Read article
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Assistant for Safe Driving Using IOT
Abstract: Deadly road accidents can be reduced by understanding the psychological and mental state of drivers. Majority of road accident occurred during night driving due to drowsiness state of vehicle drivers. Safety driving assistant is an IOT based goggles which helps the user to drive safely.Whenever driver falls a sleep system detects it and then alerts him using creating unpleasant sound which can help the user to wake up. System is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 2, 2020 · pp. 1–6 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 4, 2023 · pp. 34–43 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 34–43 Read article
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Emerging Trends in 5G and Beyond-5G Wireless Networks
Abstract: Wireless networks have evolved in the blink of an eye from 4G to 5G and are progressing towards beyond-5G (B5G) frameworks, leading to revolutionary changes in connectivity, speed, and network smarts. This review discusses trending features, challenges, and future trends of 5G and B5G wireless communications technologies. It presents chief goals of 5G, such as ultra-low latency, high spectral efficiency, massive machine-type communication, and up to 10 Gbps user data …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 11–19 Read article
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VIGILENS-An Innovative Anti Sleep and Alert System
Abstract: This project aims to create an advanced Anti-Sleep Alarm System meticulously crafted to detect and mitigate the dangers of driver fatigue in real-time. Designed with a keen focus on both effectiveness and ease of implementation, Vigilens offers a comprehensive approach to enhancing road safety for all. Central to Vigilens is its utilization of cutting-edge technology housed within a pair of specially engineered goggles. These goggles are equipped with a sophisticated …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 3, 2023 · pp. 19–28 Read article
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Diurnal Variation of Tear Film Dynamics During Digital Device Use
Abstract: With a primary focus on their effects on tear dynamics and ocular health, this research effort addresses the hyperlink between pre and post digital screen usage, time of day, and tear dynamics. The desired outcomes of the eye health metrics divulge that post-digital screen exposure significantly reduces mean tear production values across all conditions (p < 0.05), with this impact intensifying as the day progresses. These observations show the interplay …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 22–29 Read article
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Li-Fi Visible Light: Data Transfers via LED Technology
Abstract: Li-Fi (Light Fidelity) is a cutting-edge technology that uses visible light to communicate data wirelessly, like how Wi-Fi uses radio waves. Light Emitting Diodes (LEDs) are the principal source of light in this system for information transmission. To transmit data, the LED light blinks on and off very quickly, quicker than our eyes can detect. After then, a sensor records these light signals and transforms them back into data that …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 1–7 Read article
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Ocular Films as a Drug Delivery System Against Fungal Infections: Current Insights and Future Directions
Abstract: Fungal infections of the eye, including keratitis, endophthalmitis, and blepharitis, represent a challenging class of ocular diseases due to their potential for vision loss and the limited efficacy of existing treatments. These infections are caused by a range of pathogenic fungi, such as Aspergillus, Candida, and Fusarium species, and often require long-term therapeutic intervention. Conventional topical antifungal therapies, such as eye drops and ointments, suffer from poor ocular bioavailability due …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 101–109 Read article