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99 articles for “Inspection”
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Enhanced Robotic Surveillance & Inspection System Innovations for Versatile Terrain Exploration
Abstract: Robotic control has demonstrated a positive impact on various segments ranging from forest patrolling to industrial inspection, drainage inspection, and pipe inspection. These versatile robots typically feature up to six wheels and run through rugged terrains with ease. By using night vision cameras, live video feeds may be accessed on laptops and smartphones, allowing for remote monitoring and photo taking. Robotic gadgets become more autonomous when night vision technology is …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 · pp. 1–11 Read article
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The Emergence of Coxsackievirus A16 Associated with HFMD Colloquially Termed ‘Tomato Flu’ in India 2022: A Detailed Virological Inspection
Abstract: As the world battles the COVID-19 pandemic and grapples with a concerning spike in monkeypox cases, India has encountered another viral illness dubbed "Tomato Flu." Tomato Flu is a viral disease caused by coxsackievirus A16, which is a highly infectious illness affecting children under 10 years old.. Enterovirus A71, CV-A16, CVA6, and echoviruses are the causes of what is also referred to as hand, foot, and mouth disease (HFMD). The …
Published in International Journal of Vaccines · Vol. 1, Issue 1, 2024 · pp. 29–40 Read article
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Controlling Animals and People Near Railway Tracks Using the Internet of Things
Abstract: A lot of people are opting to use the train instead of the bus now as bus tickets have become so expensive. In order to keep the railroad network running well, it is necessary to constantly inspect and monitor the tracks. Till now, the train track inspection process and monitoring system are done manually, which is laborious and wasteful since human error is likely to happen at any point. Because …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 01–10 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Drone Aerial Videography
Abstract: Drone aerial videography has become a transformative force across industries, offering unparalleled perspectives and high-quality footage. In tourism, drones capture breathtaking views and provide immersive virtual tours, enticing travelers with stunning visuals of destinations. They revolutionize journalism by enabling real-time coverage of events and hazardous areas, ensuring comprehensive and safer reporting. Additionally, drones add cinematic flair to special events like weddings, efficiently capturing moments from unique angles and enhancing the …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 53–58 Read article
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Solar Panel Maintenance and Prevention System
Abstract: Solar energy has emerged as a sustainable and efficient alternative to conventional energy sources. However, maintaining solar panels is crucial to ensure optimal performance and longevity. Accumulation of dust, dirt, and environmental debris can significantly reduce energy efficiency, leading to increased operational costs and potential system failures. To overcome this issue, we suggest an IoT- based Solar Panel Maintenance and Prevention System that facilitates automated cleaning and preventive maintenance via …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 29–34 Read article
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Navigating the Horizon: Current Trends in Elevating Quality Assurance in Clinical Research
Abstract: The landscape of clinical research quality management has evolved significantly in recent years, driven by stringent regulatory frameworks and globalization of trials. This evolution underscores the importance of integrating quality into all aspects of the clinical trial process from design to postresearch activities. Concepts such as Good Clinical Practice (GCP) and Quality by Design (QbD) are central to ensuring the reliability and accuracy of trial data while safeguarding patient safety …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 1–8 Read article
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Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration
Abstract: The “Intelligent Traffic Monitoring: YOLO v8 and CSV Data Integration” project is a cutting-edge solution for intelligent traffic monitoring, with YOLO v8 (You Only Look Once) serving as the fundamental technology for real-time vehicle detection and traffic counting on roads. In addition to these features, the system interfaces effortlessly with data pipelines and machine learning projects by storing gathered traffic data in CSV (Comma-Separated Values) format. The major goal of …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 20–24 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Vector-Borne Disease Risk Assessment Among Households: A Cross-Sectional Epidemiological Investigation
Abstract: The study was conducted to assess the risk of vector-borne diseases among households of the selected ward of Athirampuzha Panchayath, Kottayam. Objectives of the study were to assess the percentage of houses infested with larvae or pupae of mosquito (house index (HI): total number of positive houses/total houses × 100), to identify the percentage of water holding containers infested with larvae or pupae of mosquito (container index (CI): total number …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 15–18 Read article
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AI Based Quality Analysis of Industrial Products
Abstract: The project introduces a new method for sampling data from a group, addressing limitations in traditional approaches. It highlights inefficiencies in inspecting only a few items from a batch, potentially leading to the rejection of entire lots due to isolated errors. To counter these challenges, a system is being designed to automatically inspect every gear in a batch. This system incorporates a conveyor belt for gear movement and a camera …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 39–45 Read article
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An Overview of New Coastal Research Vessel (N-CRV) Dry Dock and Construction
Abstract: A New Coastal Research Vessel (N-CRV) is a specialized ship designed for scientific research in fields like oceanography, geology, biology, and atmospheric studies, equipped with specific facilities and accommodations for sea missions. This paper discusses the coastal research ship dry-dock, construction, and design process, which involves three stages: concept, preliminary, and contract design. N-CRV must utilize scientific cruise, Exclusive Economic Zone (EEZ) survey, deployment, data collection, and seawater sample collection …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 1–11 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Optimization Of Mechanical Properties Of 500/7 Grade Ductile Cast Iron (DCI) By Using SMAW: Applications In Reinforced Composites And Thermoplastics Through Taguchi & GRA
Abstract: Welding, a critical manufacturing process, is broadly engaged to join metals and thermoplastics using heat, pressure, or both. This study inspects the Shielded Metal Arc Welding (SMAW) method to optimize welding parameters and improve the mechanical properties of Ductile Cast Iron (DCI) grade 500/7, a material widely used in high-strength and thermal conductivity applications in aerospace and automotive sectors. Using an L9 OA (orthogonal array), experiments were conducted on nine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 204–222 Read article
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Jowar Millet Crop Monitoring and Analysis Robot (JMAR): A Smart Solution for Plant and Soil Health in Jowar Millet Farming
Abstract: Farmers cultivating jowar millet (Sorghum) face significant challenges in maintaining crop health and optimizing yield due to the limitations of traditional plant disease detection and soil health assessment methods. Visual inspection and indigenous knowledge are labour-intensive, time-consuming, and often inaccurate, while soil monitoring requires specialized equipment that is not always affordable or accessible. These issues hinder timely intervention and can lead to crop losses and soil degradation. To address these …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 8–18 Read article
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A Review of Failure Investigations and Its Techniques
Abstract: Valve failure poses a significant financial risk in the offshore oil and gas industry. Serious repercussions from this problem could include property damage and lost output from operational shutdowns. Additionally, it can lead to serious health, safety, and environmental (HSE) concerns such as oil and gas leaks, environmental contamination, and potential fatalities. In the Norwegian offshore industry, different kinds of valve failures have happened for a number of reasons, including …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 33–41 Read article
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Automation and Robotics for Quality Control in Manufacturing: A Review of Technologies and Applications
Abstract: Automation and robotics technologies have rapidly evolved, transforming modern manufacturing processes by improving productivity, quality, and operational efficiency. This review examines key advancements such as cloud robotics, machine vision, Industry 4.0 robotics, Building Information Modeling (BIM) combined with Computer Numerical Control (CNC), joystick-controlled automation, and intelligent manufacturing systems. These technologies utilize artificial intelligence (AI), machine learning (ML), digital twins, collaborative robots, programmable logic controllers (PLCs), and cyber-physical systems (CPS) to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 36–48 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article