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239 articles for “Human detection”
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Water Quality Monitoring System
Abstract: Water contamination is a serious issue that endangers both human health and the environment. Monitoring water quality in real time is crucial to ensuring that people have access to clean and safe drinking water. This project uses Internet of Things (IoT) technologies to provide a low-cost, straightforward water quality monitoring device. The system measures the temperature, pH, turbidity (cloudiness), and water flow using a variety of sensors. These tests aid …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 1, 2025 · pp. 37–44 Read article
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Automatic Brake Failure Indication with Auxiliary Braking System
Abstract: Accidents in vehicles often happen due to diverse factors, with brake failure being a significant contributor resulting from inadequate maintenance and product defects. To protect human lives and reduce the risk of accidents, effective monitoring of brake systems is vital in the automotive industry. Vehicle safety encompasses not only the prevention of accidents but also the mitigation of their adverse effects on human health. Today’s cars come with innovative safety …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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An Integrated Satellite and Underwater IoT Framework for Real-Time Oceanic Disaster Monitoring and Resilient Communication
Abstract: Ocean-based environmental disasters such as tsunamis and underwater earthquakes pose significant risks to human life, coastal infrastructure, and regional stability. However, traditional communication networks often collapse during such events, leading to delayed alerts and uncoordinated response efforts. This study presents an integrated framework that combines underwater Internet of Things (IoT) systems with satellite communication technologies to enable real-time oceanic disaster monitoring and reliable emergency communication. The system connects underwater sensor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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Automation of Waste Segregation System by Using IoT
Abstract: The rapid urbanization and the increasing volume of waste generation have made waste management a critical issue globally. Efficient waste segregation at the source is one of the most effective ways to reduce the adverse environmental impact of waste disposal. In this study, we propose an automated waste segregation system based on Internet of Things (IoT) technology, aimed at improving the efficiency of waste management. The system integrates a range …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Controlling Media Player Through Hand Gesture Recognition System Using CNN and RNN Models
Abstract: Artificial intelligence markup language (AIML) project represents a pioneering endeavor in the realm of media player control through hand gesture recognition, merging advanced technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN). By harnessing the image analysis capabilities of CNN, our system ensures accurate, real-time detection, and interpretation of intricate hand gestures, enabling users to interact with their media content naturally and seamlessly. What sets our project apart …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 29–34 Read article
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Design and Implementation of a Smart Automatic Water Dispensing System
Abstract: Water is a precious resource, and its wastage is a growing problem. This project focuses on creating an automatic water tap to save water in homes and public places. The system uses an ultrasonic sensor to detect hand movements and a solenoid valve to control the flow of water. A microcontroller manages the entire process, ensuring water flows only when needed. During testing, the system reduced water wastage significantly, making …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 22–30 Read article
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Review on Persistent Threat of Monkeypox
Abstract: Monkeypox virus (at this instant notorious as MPXV, the virus that sources the lately rechristened infection monkeypox) was learned at Denmark’s State Serum Organization in 1958, which is closely like smallpox. For the next 50 years, monkeypox was primarily confined to tiny, sporadic epidemics in western and central Africa. These epidemics were primarily caused by spillover episodes, in which the virus sprang through a host animal to a human, followed …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 3, 2024 · pp. 37–42 Read article
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Robotic Arm Using Color Sorting Algorithm
Abstract: *Author for CorrespondenceDeokar AdityaE-mail: adityadeokar0007@gmail.com1Dean Academics, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India2Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, Maharashtra, IndiaReceived Date: April 03, 2025Accepted Date: April 22, 2025Published Date: May 09, 2025Citation: K.P. Jadhav, Deokar Aditya, Dushing Sushant, Gaikwad Om, Garbhe Prathamesh. Robotic Arm Using Color Sorting Algorithm. Journal of Mechatronics and Automation. 2025; 12(2): 8–16p.Industrial and commercial applications form part …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 8–16 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Farmer’s Eye: A Sustainable Crop-Field Monitoring System
Abstract: This paper outlines the creation and implementation of an Internet of Things (IoT)-driven smart agriculture monitoring system. It aims to tackle major issues in agriculture, such as inefficient irrigation, excessive resource use, and a lack of real-time data. The system focuses on the Arduino Uno, which connects to a variety of sensors: soil moisture for measuring substrate conditions, DHT11 for monitoring ambient temperature and humidity, MQ135 for checking air quality, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 19–27 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Classification of Fruits Based on Quality Using Artificial Intelligence
Abstract: The visual inspection method for fruit grading is prone to judgment distortion among different individuals. There is a demand for an automated fruit classification machine to replace labor-intensive processes with an intelligent system for fruit quality classification. This study proposes a practical real-time fruit quality classification system that classifies the fruit’s appearance in order to decrease human effort costs in the fruit industry. For the sorting and classification of fruits, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article
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A Study on AI-Enhanced Environmental Toxicology: Sensor-Driven Predictive Framework
Abstract: Traditional environmental toxicology relies heavily on labor-intensive, often retrospective, sampling and analysis, limiting our understanding of dynamic pollutant behaviors and their real-time impact on ecosystems and human health. This study presents a novel, integrated framework leveraging advanced sensor networks and artificial intelligence (AI) to revolutionize the monitoring, assessment, and predictive modeling of environmental contaminants. We deployed a sophisticated array of multi-parameter sensors (e.g., electrochemical, optical, biosensors for heavy metals, organic …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 3, 2025 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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Performance Analysis of Machine Learning Algorithms For Disease Prediction
Abstract: In this 21st century, where Digitization makes humans measure, record, analyze and to manipulate the huge amount of data as per the requirement, prediction of the decease based on Machine Learning models will be representing one of the good applications of the efficient data handling. An Automatic Decease Prediction system based on the symptoms would be the great boon for the medical practitioners. The Supervised Machine Learning models, such as …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 9–18 Read article
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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
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Assessment of Physico-Chemical and Microbial Analyses of Hand Dug Wells in Makeni Town, Sierra Leone
Abstract: The various water samples were analysed for residual chlorine, ammonia, fluoride, nitrate, sulphite, lead, arsenic, chromium, and bicarbonate levels from January to August 2024. The bacteria contamination was investigated to determine the safety of the water for the consumption of human. The temperatures across the four wells ranged 27.3oC to 30.0oC, with and average values ranging from 27.94oC to 29.15oC. pH values were within the WHO recommended guidelines range of …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 01–13 Read article
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Expression Profiling of Immunomodulatory Genes in Canine Adipose Tissue–Derived Mesenchymal Stem Cells
Abstract: Adipose tissue–derived mesenchymal stem cells (AT-MSC) represent a heterogeneous population of self-renewing, multipotent progenitor cells residing in the stromal compartment of adipose tissue. Canine adipose tissue-derived mesenchymal stem cells have attracted significant interest in regenerative medicine due to their therapeutic potential in naturally occurring canine diseases and their translational relevance to human medicine. In the present study, canine adipose tissue–derived MSCs (cAT-MSCs) were isolated and differentiated into osteogenic, chondrogenic and …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article
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Towards smart cancer care - AI enhanced monitoring and intervention
Abstract: According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the leading causes of mortality, accounting for roughly 16% of all deaths globally. The goal of the cancer community is to improve the lives of those who are impacted by cancer and to cut the cancer death rate in half during the next several years. If cancer is identified early and treated, its impact on …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 38–44 Read article