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46 articles for “Thermal imager”
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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Thermally Trigged Self-Healing Smart Shape Memory Polymer Composite
Abstract: Temperature-responsive self-actuating PU/MWCNTs composites were prepared with micro-compounder through in-situ polymerization. For making of 1CNTPU composite sample 1 part per hundred multiwall Carbone nanotubes (MWCNTs) were reinforced into the neat polyurethane (PU) base matrix. Surface characterizations for pure and composite have studying by using Atomic Force Microscope (AFM), high resolutions Scanning Electron Microscopy (SEM). Properties like shape recovery, storage modulus, loss modulus, tensile stress, degree of hardness, and flexural stress …
Published in Journal of Polymer & Composites · Vol. 9, Issue 3, 2021 · pp. 10–18 Read article
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Sensor Guard: Thermal Sensor System for Lion Detection and Collision Prevention
Abstract: This paper presents a novel system that utilizes thermal imaging and CCTV cameras integrated with sensors to detect heat sources, specifically focusing on the detection of lions near railway tracks to prevent collisions. The system employs infrared thermal imaging to identify heat signatures of animals, particularly lions, that may create risk to his/her life. By combining thermal sensors and machine learning algorithms, the system is capable of accurately the heat …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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Multi-satellite Responses to Describe Earth Sensing
Abstract: AbstractRemote earth sensing (RES) achievements have started from weather forecast. Continual explore gradually merged to widen information broad cast for any subject. Therefore, satellite image processing plays vital role for research developments in geographical information systems, astronomy, and agriculture monitoring and disaster management. Military and public both regularly utilize satellite technologies like remote sensing, telecommunications, and direct television, broadcasting. Cluster and grid subjective to involve terabytes rated data inform after …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 3, 2019 · pp. 13–18 Read article
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Analysis of Thermal Pattern Variation for River Ganges with Satellite Imagery
Abstract: Stream temperature is a fundamental aspect of water quality and ecosystem health of the river affecting its physical, chemical and biological processes; so the monitoring and understanding of the thermal regime of rivers is extremely important. Water temperature affects water quality such as dissolved oxygen, pH, salinity and it also has influence on growth and extent of aquatic organisms. Remote sensing applications can be an effective alternative to the conventional …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 3, 2020 · pp. 21–30 Read article
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Utilizing Image Processing Methods for Infrared (IR) Intensity Measurement across Spatial and Temporal Domains
Abstract: The research outlined in this investigation centres on employing image processing techniques to measure infrared (IR) intensity in spatial and temporal domains. The primary objective is to ascertain intensity levels at various spatial points over time, utilizing thermal imaging technology. To record the burning flare and produce radiometric data, the experimental setup makes use of a thermal camera. Additionally, a spectroradiometer is utilized to gauge intensity. To provide a particular …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 1–1O Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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Development and Performance Evaluation of GO–ZnO/PU Hybrid Nanocomposite Coatings for Improved Optical Transmission, Cooling, and Self-Cleaning in PV Systems
Abstract: The performance of solar photovoltaic (PV) modules with time is affected by thermal heating, dust buildup, and exposure to ultraviolet (UV) light; as a result, the power loss increases rapidly during the use condition. In this study, a polyurethane (PU) nanocomposite, fabricated with graphene oxide and zinc oxide (GO–ZnO), is invented and examined. Improvements in heat management, light transmission, and dirt resistance are planned for PV glass surfaces. The nanocomposite …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 243–249 Read article
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Fire Detection And Prevention in Electric Vehicles (Ev)
Abstract: This abstract presents a novel approach to fire prevention and detection in electric vehicles (EVs), highlighting the challenges posed by their high-voltage battery systems. The proposed system integrates advanced fire detection technology, such as infrared sensors and thermal imaging, with automatic gas release mechanisms triggered upon fire detection to manage the temperature of the electric engine and suppress fires effectively. The chosen gas serves a dual purpose of reducing oxygen …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 26–31 Read article
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Drones in Precision Livestock Farming: Advancing Health, Welfare, and Resilience in Dairy Production Systems
Abstract: The integration of drone technology in precision livestock farming represents a transformative advancement in modern dairy production systems. Drones offer innovative solutions for monitoring, managing, and optimizing livestock health, welfare, and productivity while addressing challenges related to environmental sustainability and resource efficiency. This study explores the diverse applications of drones in dairy farming, including health monitoring, disease detection, reproductive assessment, and real-time herd tracking. By leveraging thermal imaging and advanced …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 16–25 Read article
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Autonomous Drones for Search and Rescue Opera-tions: State of the Art and Future Prospects
Abstract: Autonomous drones have significantly transformed search and rescue (SAR) operations by improving the speed, precision, and overall effectiveness with which rescuers are able to locate and provide assistance to individuals in need. By leveraging state-of-the-art technologies such as computer vision, artificial intelligence (AI), machine learning, and advanced navigation systems, drones have proven invaluable in carrying out complex rescue missions. These technologies enable drones to navigate hazardous environments autonomously, even in …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 9–13 Read article
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Electronic Drones: Technology, Applications, and Future Directions
Abstract: Electronic drones, commonly referred to as Unmanned Aerial Vehicles (UAVs), have transitioned from exclusively military platforms to indispensable tools across commercial, scientific, industrial, and recreational domains. The rapid evolution of electronics, flight control systems, communication networks, onboard sensors, and artificial intelligence has reshaped drone capabilities, enabling high-precision remote sensing, autonomous navigation, swarm behavior, and integration into complex systems like the Internet of Drones (IoD). This paper examines the technological building …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 15–19 Read article
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Thermo-Structural Machine Learning Framework for Malicious Sample Detection and Validation in Polymer Composite Materials
Abstract: The increased use of polymer composites in aerospace, automotive, biomedical and industrial applications has increased the urgency of developing dependable methods to detect malicious samples with counterfeited resins, unauthorized additives, recycled components, hidden flaws, or purposefully degraded physical properties. Most current machine learning techniques have focused either on isolated spectral analysis or detecting flaws in materials; as such, they are unable to perform joint verification of both chemical authenticity and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Biopolymer–Cement Hybrid Panels from Recycled Paper Mill Reject: Experimental Characterisation and Machine Learning Optimization
Abstract: The increased rate of the accumulation of industrial residues in the developing countries is a major cause of concern for the environment. The current study brings forth the use of industrial residues in the form of the production of eco-friendly building materials as a sustainable approach to their valorization. The valorization of recycled paper mill reject, a cellulose-based biopolymeric industrial residue, is being addressed in this study as a reinforcement …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 67–90 Read article
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A Comparative Study of Zinc Oxide Nano Particles Synthesized by Hydrothermal, Sol-gel and Thermal Decomposition
Abstract: In the proposed work, Zinc oxide nano particles (ZnO NP's) are synthesized using three different methods: Hydrothermal, Sol-gel and Thermal decomposition. The samples are characterized using X- ray diffraction (XRD), UV visible spectroscopy (UV-Vis), Fourier Transform Infrared Spectroscopy (FT-IR) and scanning electron microscopy (SEM). The XRD pattern exhibit single-phase polycrystalline nature of all the samples exhibiting the most intense peak at (101). The diffraction peaks are located at 31.80, 34.46, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 39–45 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Inverse Model for Predicting Thermal Abnormality of the Transient Process Triggered by Defective Electronics Element
Abstract: The paper presents a model for predicting thermal abnormalities in Printed Circuit Boards (PCBs) by approximating the thermal process of electric elements with heating from point sources. Circuit board heat sources are defined as point and non-point. The point heat source is a small electronic heating element that can be approximated as having originated from one point on the circuit board. A non-point source is one with heat distributed over …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 24–31 Read article
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Investigation of Mechanical Properties of Hollow Bricks Incorporating Aerated Aggregates: A Polymer-Cement Composite Approach
Abstract: The rapid advancement of construction technologies has necessitated the development of lightweight, thermally efficient, and sustainable building materials. Hollow bricks, due to their inherent voids, offer substantial reductions in dead load and enhanced insulation properties. However, their mechanical performance often falls short when compared to conventional solid bricks. To address this limitation, this study explores the synergistic integration of aerated aggregates and polymer-cement composites (PCCs) in hollow brick production. Aerated …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 92–105 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article