Search
41 articles for “image detection”
-
Fabrication of a Smart LPG Monitoring and Alert System for Homes Using Node MCU and IoT
Abstract: The "Smart LPG and MNGL Gas Monitoring System with Gas Leakage Detection" project is designed to enhance the safety and efficiency of liquefied petroleum gas (LPG) and Maharashtra natural gas limited (MNGL) distribution systems. LPG and MNGL are widely used for cooking and heating purposes, making it crucial to ensure their safe handling and distribution. Gas leakage can lead to life-threatening situations and environmental hazards. This project presents a comprehensive …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 · pp. 16–21 Read article
-
Predictive Modeling of Dengue Mosquito Populations Using Artificial Neural Networksfor Effective Zapping Solutions
Abstract: The World Mosquito Programme highlights the significant global threat posed by dengue fever, estimating that over half of the world's population is at risk, with approximately 390 million cases reported annually. In 2023, India witnessed a substantial increase in dengue cases, recording over 270,000 cases compared to 74,000 in 2017. Dengue Virus (DENV) transmission occurs through Aedes Aegypti Mosquito bites, and with no specific treatment or vaccine available, effective management …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 1, 2024 · pp. 27–36 Read article
-
Utilizing Remote Sensing and GIS for Water Quality Monitoring
Abstract: The integration of remote sensing and Geographic Information Systems (GIS) offers a sophisticated approach for monitoring and safeguarding water quality. This review examines how remote sensing technologies and GIS can be combined to observe key water quality indicators, such as turbidity, chlorophyll levels, and surface temperature. Remote sensing provides comprehensive, real-time data, which, when analyzed using GIS, enables detailed spatial examination and visualization of water quality patterns. This synergy enhances …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 45–51 Read article
-
Effect of Segmentation of White matter, grey matter and CSF in the prediction of Neurological disorders
Abstract: The segmentation of white matter, grey matter, and cerebrospinal fluid (CSF) plays a crucial role in predicting and diagnosing neuro disorders. This study investigates the impact of precise segmentation techniques on identifying biomarkers and structural changes associated with various neurological conditions, including Alzheimer's disease, multiple sclerosis, and schizophrenia. By leveraging advanced imaging technologies and machine learning algorithms, we aim to enhance the accuracy of neuro disorder predictions through detailed analysis …
Published in International Journal of Neurological Nursing · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
-
An Overview on Nanomaterial-Enabled Electronic Skin for Physiological Sensing and Biomedical Use
Abstract: Imagining a world in which prosthetics have the ability to feel, robots are able to detect even the faintest touch, and wearable health monitors are able to track your well-being in a seamless manner. Electronic skin, often known as e-skin, is a revolutionary technology that is set to alter the way in which we interact with the world. This vision has become a reality thanks to their development. What is …
Published in International journal of Nanobiotechnology · Vol. 12, Issue 1, 2026 · pp. 53–62 Read article
-
A Study on CNN-Based Image Mosaicing
Abstract: The intricate tapestry of image mosaicing, while a cornerstone of computer vision, has long been constrained by the rigidity of classical, geometry-driven pipelines. Hand-crafted feature detectors and homography estimators, while effective in controlled environments, prove brittle when confronted with the challenges of real-world scenes: significant parallax, dynamic moving objects, repetitive textures, and illumination variance. This work introduces a fundamental paradigm shift, proposing a deep convolutional neural network (CNN) architecture designed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
-
SOBER “An Alcohol Detection and Car Engine Locking System”"
Abstract: Drinking Driving is a major issue of road accidents all over the world; 60 plus of the accidents are caused by it. The number of deaths due to crapulous driving is assumed to be larger than imagination. The model device aims to help the stoner from driving drunk and reduce the number of accidents and cases being due to drunk driving. . Alcohol impairs drivers’ cognitive and motor functions, reducing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 14–19 Read article
-
A Descriptive Study on Current Trends in the Diagnosis and Management of Diabetic Foot
Abstract: Diabetic foot is a major and frequently occurring complication of diabetes mellitus, significantly contributing to patient morbidity, increased hospital admissions, and a higher risk of lower limb amputations. Timely identification and proper management are crucial to halt disease progression and enhance patient outcomes. This descriptive study focuses on examining current practices and advancements in the diagnosis and management of diabetic foot within clinical settings. The study highlights modern methods used …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 23–33 Read article
-
Nanotechnology Era: Comprehensive Study of Magnetic ZnxFe2–xO3 Nanoparticles for Enhanced Treatment of Cancer and Infectious Disease
Abstract: In the contemporary world, scientists, technologists, and medical professionals are able to transform the knowledge of nanotechnology to medical treatment. They have been struggling to eradicate or reduce the risk effects of epidemic disease from the world. Such epidemic disease is challenging due to their vast replication, regeneration, hereditary case, genetic variations, and passages through genetic matter. For this reason, this research is focused on the biomedical application of ZnxFe2–xO3 …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 2, 2024 · pp. 33–48 Read article
-
Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
-
Blind Assistance System Using Digital Image Processing
Abstract: This paper brings forth state-of-the-art blind assistance, and the system here provides a combination of an OpenCV-based DNN module based on YOLOv3’s algorithm; the system would support real-time object detection, with associated auditory notifications to enable visually impaired individuals to understand their autonomy couched with safety about improved fast recognition of objects allied with auditory responses. The live video captures from a webcam were done and further processed by the …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 13–19 Read article
-
A Comprehensive Review of ARDS: From Pathogenesis to Innovative Treatment Modalities
Abstract: Acute Respiratory Distress Syndrome (ARDS) is a serious medical condition marked by significant low oxygen levels in the blood, bilateral lung infiltrates, and extensive lung inflammation. It is often caused by a range of direct or indirect injuries to the lungs. Despite considerable advances in understanding the pathophysiology of ARDS, its complex and multifactorial nature continues to challenge clinicians in both diagnosis and management. This review provides a comprehensive analysis …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
-
Advancing Maize Leaf Disease Detection: A Machine Learning Approach
Abstract: Every day, countless grains and fruits are cultivated around the world. To keep up with the growing population’s needs, farmers are constantly adopting new and advanced techniques. Furthermore, the development and application of new technologies enable the quick and simple detection of plant diseases. Identifying plant diseases at an early stage is crucial to minimizing their effects on crop productivity and quality. Traditional diagnostic methods often rely on expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 17–25 Read article
-
Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
-
Quantum Dots in Oral Diagnostics and Theranostics: Promise and Preclinical Status
Abstract: Quantum dots in oral diagnostics and theranostics represent a rapidly evolving, largely preclinical strategy that couples highly sensitive optical imaging with targeted therapeutic delivery in the oral cavity. Their size-dependent emission, high photostability, and broad excitation spectra allow bright, multiplexed visualization of key molecular events in oral potentially malignant disorders and oral squamous cell carcinoma, while surface functionalization with antibodies, peptides, or smallmolecule ligands enables selective binding to dysplastic and …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 18–25 Read article
-
Quantum Dots in Oral Diagnostics and Theranostics:Promise and Preclinical Status
Abstract: Quantum dots in oral diagnostics and theranostics represent a rapidly evolving, largely preclinical strategy that couples highly sensitive optical imaging with targeted therapeutic delivery in the oral cavity. Their size-dependent emission, high photostability, and broad excitation spectra allow bright, multiplexed visualization of key molecular events in oral potentially malignant disorders and oral squamous cell carcinoma, while surface functionalization with antibodies, peptides, or small-molecule ligands enables selective binding to dysplastic and …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 20–30 Read article
-
Magnetic and radioactive nanoparticles for improved CGT and theranostics application
Abstract: Nanoparticles based therapeutic and theranostics technique is becoming an active area of research in nanomedicine. Nanomedicine as a major application of nanotechnology enables efficient diagnosis procedures, imaging system, therapeutic techniques, and drug delivery system. This research presents an overview of methods that enable integrating both diagnosis and therapeutic techniques which increase efficacy and reduce time. Hence, we look forward on the power of such theranostics techniques which involves the use …
Published in International journal of Nanobiotechnology · Vol. 11, Issue 1, 2025 Read article
-
CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
-
Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
-
Fall Detection and Rescue System from Borewell
Abstract: The way the plates are arranged within the bore well prevents the youngster from entering very far, hence the offered remedy will ensure the child's survival. Unintentionally falling into a borewell can be extremely hazardous, especially for children and animals, as it could endanger their lives. In order to solve this issue, the suggested system has developed a unique robot system that can swiftly identify and handle such situations. The …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 7–13 Read article