Search
44 articles for “blind detection”
-
Milk Allergy: Significance, Detection and Management
Abstract: Milk allergy is a significant public health issue, particularly among infants and young children, with prevalence rates between 2 and 6% in early childhood, declining to 0.1–0.5% in adulthood. It is an immune-mediated adverse reaction to milk proteins, primarily involving immunoglobulin E (IgE)-mediated responses. Symptoms range from gastrointestinal distress and respiratory complications to severe anaphylaxis. The etiology of milk allergy involves genetic predisposition, environmental factors, an immature immune system, and …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 1, 2025 · pp. 15–19 Read article
-
Moving Aid System for Elderly and Blind Safety Protection
Abstract: In order to help visually impaired person, the proposed work presents a smart aid navigation system. The arrangement detects obstacles via an infrared proximity based detecting system and sends back a vibro-tactile or buzzer feedback. We have made an insightful use of visually impaired people’s habitual support, i.e. white cane, and a sensor module is properly fixed on a light weight cap to acquire an exact information about obstacles (near …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 1–5 Read article
-
Smart Pen for Visually Challenged People
Abstract: Some of the main challenges faced by visually impaired people are navigation, reading, writing, sensing etc. So while they are navigating independently, any obstacle present above 150cm above ground cannot be detected with the help of a walking stick. So to detect any obstacle above 1.5m we can use a IR detector which is placed at the required height to sense the obstacle. There are many blind people with good …
Published in Recent Trends in Programming languages · Vol. 7, Issue 1, 2020 · pp. 16–19 Read article
-
Path Guidance for Blind Person using Ultrasonic Sensor
Abstract: AbstractIn this paper, the proposed designed system a user-friendly system for visually disable people which helps visually impared people to detect objects in the path and show the direction for destination. Ultrasonic sensor determines the presence of object in front of the user as it finds any object, it transmits a signal to the microcontroller. It results to the output of buzzer sound. Global system for mobile application is used …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 3, 2017 · pp. 13–16 Read article
-
Extraction of Retinal Features in Fundus Images for Glaucoma Diagnosis
Abstract: Glaucoma is a major cause for blindness, identified early by the structural changes of optic nerve head in the retina. Retinal image analysis is emerging as an important screening tool for prior detection of eye diseases. Glaucoma is a chronic eye disease in which damage to the optic nerve leads to progressive, irreversible vision loss and it is considered as second leading cause for blindness worldwide. In this research work, …
Published in Current Trends in Information Technology · Vol. 6, Issue 1, 2016 · pp. 21–28 Read article
-
Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
-
Android Voting System Using Face Recognition
Abstract: This work investigates a novel authentication approach for online voting systems that includes facial recognition verification. The goal is to create an automated voting system that increases election security and voter convenience. Voters prefer to cast their ballots in designated areas, such as polling booths, resulting in long lines and the majority of people missing out on the chance to vote. Ineligible voters may potentially fabricate their ballots, generating a …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 15–20 Read article
-
Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
-
Computer based Automated Detection of Diabetic Retinopathy Stages using Neural Network
Abstract: Diabetic Retinopathy (DR) is a condition where a person suffering from diabetes for more than 10 years and has problem in vision. Due to DR, blood vessels in retina gets damaged. Patient also suffers from a blurred vision, finds difficulty in seeing colors in some cases or even total loss of vision. Retinal surgeries can relieve the symptoms, but efficient way to tackle DR is controlling diabetes and managing early …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
-
Smart Stick For Blind Person
Abstract: When walking down the street, visually impaired persons have trouble spotting hazards in front of them, which is risky. The smart stick is offered as a suggestion to help kids recognize their surroundings. A person can walk more safely with the blind handle. According to the WHO 30 million people are irreversibly blind, and 285 billion have some form of vision impairment. After processing the data, the blind individual is …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 9–13 Read article
-
The Analysis of Deep Learning-Based Methods for Identifying Diabetic Retinopathy
Abstract: Diabetic retinopathy (DR) is a degenerative eye condition resulting from diabetes mellitus, where high blood glucose levels lead to lesions on the retina. This condition is considered the leading cause of blindness among working-age diabetic patients, particularly in developing countries. As the disease is irreversible, the treatment aims to preserve the patient’s current vision. Early detection is crucial for effective management of DR to maintain vision. One of the main …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 15–31 Read article
-
Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
-
Digital Psychiatry: A Narrative Review on AI Positive Role in Mental Health
Abstract: Artificial Intelligence has rapidly evolved into a formidable instrument within the domain of mental healthcare, fundamentally altering the way we understand awareness, diagnosis, intervention and emotional regulation. This narrative review explores AI’s potential to foster positive mental health through tools such as natural language processing, machine learning, deep learning and computer vision. These technologies promise earlier detection of mental disorders, customized treatment plans and responsive emotional support. Yet, alongside these …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 1–13 Read article
-
Awareness, Perceptions and Practices about Childhood Blindness among Parents Visiting a Tertiary Level Children Hospital in Delhi
Abstract: Childhood blindness impacts a child’s development, education, future work opportunities and quality of life. In nearly 50% of the cases, childhood blindness is treatable or preventable. Parents are the decision makers when it comes to children’s healthcare needs, and can play a crucial role in control of childhood blindness. The objective of this study is to assess the awareness, perceptions and practices among parents about common causes of childhood blindness …
Published in Research and Reviews: A Journal of Health Professions · Vol. 3, Issue 3, 2013 · pp. 6–10 Read article
-
IoT-Based Smart Stick for the Visually Impaired: Real-Time Obstacle Detection and Auditory Feedback System
Abstract: The smart stick is designed to assist visually impaired individuals by helping them detect obstacles in their surroundings without relying solely on physical contact. The device is equipped with sensors that continuously scan the path ahead of the user. When an obstacle is detected, the sensors convert the information into real-time audio signals that are delivered through headphones. These audio alerts allow users to understand their environment more clearly and …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 1, 2026 · pp. 29–35 Read article
-
Novel Approach for Automated Diagnosis of Diabetic Retinopathy
Abstract: Automated and early diagnosis of diabetic retinopathy is a crucial need. Diabetic retinopathy (DR) is the major cause of blindness among people. DR is a progressive disease classified according to the presence of various clinical abnormalities. It doesn’t have any visible symptoms till the disease is at late stage. Therefore, it necessary to detect DR at early stage and to ensure proper treatment. For early detection of DR, different automated …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 1, 2016 · pp. 9–13 Read article
-
Predicting diabetes status using ensemble algorithms with hyperparameter tuning
Abstract: Diabetes is a condition in which the body is unable to produce enough insulin to keep blood sugar levels under control. If diabetes is not properly identified and treated, it can lead to kidney failure, nerve damage, blindness, and coronary heart disease. A healthy lifestyle, therefore, depends on the early identification of diabetes diseases. However, it can be difficult to assess a person's diabetic status if they live in remote …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 1–9 Read article
-
Automated Headlight Intensity Controller and Speed Control in Vehicles
Abstract: AbstractHeadlight intensity of vehicles poses a great danger during night travel. The drivers of most vehicles use high bright beam while driving at night. This causes inconvenience for the person travelling from the opposite direction. Person experiences a sudden blaze for a short duration. When these headlights shine brightly, they cause a temporary blindness to a person, resulting in road accident during night. To avoid such incidents, we are designing …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 1–5 Read article
-
Sole mate-Electronic Shoes to Assist Visually Challenged
Abstract: Making daily living easier has always been a goal of technological development. Everyone in today's fast-paced world uses technology to their advantage, except for some regions. Society. One of them is visually impaired and must contend with many difficulties on a regular basis. One of their biggest issues is getting around, such as crossing roads, taking trains, or going to public places, all of which frequently require human help. Occasionally, …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
-
Empowering the Visually Impaired: Arduino-driven Ultrasonic Navigation System
Abstract: In a world characterized by a relentless pace of technological progress, the fusion of various technologies and the utilization of microcontrollers have become pivotal in finding innovative solutions to a multitude of real-world challenges. Our project embodies the innovative spirit of this era by harnessing the capabilities of Arduino microcontrollers, a selection of sensors, and communication modules to create a multifunctional device. This project is a testament to the power …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 36–41 Read article