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55 articles for “Dry eye”
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Role of Netra Tarpana with Triphala Ghrita in Dry Eye: A Clinico-Pathological Evaluation
Abstract: Dry eye syndrome is a very common condition that is characterized by a disturbance of the tear film. There is not a single entity which can be compared as dry eye but a group of diseases or stages of diseases which are more or less similar to dry eye like Sushkaksipaka, Pothaki, Suktika. Preservative-free tear substitutes are the first step in medical management of DED which increases humidity and improves …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 4, Issue 3, 2015 · pp. 1–8 Read article
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Dry Eye Disease: A Common Ophthalmic Problem
Abstract: Dry eye is a multifactorial disorder of tears and ocular surface caused due to unstable tear film giving rise to chronic dryness of cornea and conjunctiva. and in turn causes a feeling of dryness, foreign body sensation, pain, redness, burning, and light sensitivity. It can lead to serious complications like a corneal ulcer, which result in blindness if timely treatment is not given. The dry eye disease prevalence ranges up …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 12, Issue 2, 2022 · pp. 26–33 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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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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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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Hormonal Shifts and Vision Changes: Addressing the Needs of Women During and After Pregnancy
Abstract: Pregnancy and the postpartum period are marked by significant hormonal fluctuations that can profoundly affect a woman’s vision health. This review explores the relationship between hormonal shifts during pregnancy and the onset of common vision changes, including but not limited to dry eyes, blurred vision, and retinal changes. These changes are often temporary but can indicate underlying complications such as gestational diabetes, preeclampsia, and other pregnancy-related conditions that may threaten …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 19–24 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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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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Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State and Blowing an Alarm
Abstract: AbstractDriver's deficiency is one of the significant purposes behind car crashes, especially for drivers of wide vehicles, (for example, transports and overwhelming trucks) in perspective of conceded driving periods and fatigue in working conditions. In this paper, we propose a dream based exhaustion recognizing confirmation structure for transport driver watching, which is clear and flexible for sending in transports and critical vehicles. The structure contains modules of head-bear unmistakable evidence, …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 34–43 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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Demodex spp. (Acari: Demodicidae) Infestation in Humans: Diagnostic Clues and Therapeutic Approaches to Primary and Secondary Demodicosis.
Abstract: Demodicosis represents an inflammatory dermatosis and adnexal disorder arising from pathologic overgrowth of Demodex mites, primarily Demodex folliculorum and Demodex brevis, which are ubiquitous human ectoparasites residing in pilosebaceous units and eyelid margins. Once regarded as benign commensals, these mites are now recognized as primary drivers or key cofactors in diverse clinical phenotypes, including papulopustular eruptions, pityriasis folliculorum, rosacea-like disorders, blepharitis, meibomian gland dysfunction, and exacerbations of comorbid dermatoses such …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 12–20 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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An Automatic Upper/Dipper Light control circuit for vehicle
Abstract: A few vehicles on streets are expanding step by step, likewise, the innovation has grown however the wellbeing factor is constantly required to have been thought of. These days vehicles come warmed with loads of wellbeing highlights. One of the fundamental wellbeing highlights that should be introduced is a programmed upper scoop control of the fog light, this component can principally be utilized during evening driving. Natural eyes are extremely …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 2, 2023 · pp. 25–31 Read article
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IoT-based Driver's Doziness Detection
Abstract: A couple of lakh injuries have happened because of numerous factors, including terrible usage, avoiding protection, motive force fatigue, and so forth. According to statistics, driver indolence constitutes 40% of injuries. Internet of things (IoT) can assist in decreasing the number of accidents. To resolve this problem, a machine for motive force doziness detection is presented in this article. This device uses a system learning algorithm to usually monitor the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 1–9 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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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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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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Fatigue Detection using Artificial Intelligence to Prevent Accident
Abstract: Each year many people lose their lives due to road accidents around the world. Major accidents are due to drowsy driving. Fatigue and micro sleep of the driver are often the root cause of serious accidents. However, initial signs of tiredness can be detected before a critical situation arises. The method used to detect drowsiness are based on behavioral aspects while some are intrusive and may distract drivers, while some …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 1–6 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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A Case Report on Age Related Macular Degeneration (Dry) and it’s Ayurveda Management
Abstract: Eyes are one of the most important organs of the body. In the modern era of computer science, social networking and life in highly polluted environment, maintaining the health of the eyes is indeed a big challenge. Ayurveda provides natural and cost effective ways of maintaining the health of the eyes. This article says about the ayurvedic management done in ocular disease, i.e., macular degeneration. The macular degeneration is a …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 4, Issue 2, 2015 · pp. 5–8 Read article