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132 articles for “real-time detection”
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Analytical Development of Electrochemical Biosensors for Real-Time Monitoring of Environmental Contaminants
Abstract: The increasing awareness of environmental pollution has necessitated the development of efficient monitoring systems for the detection and quantification of contaminants. Electrochemical biosensors have emerged as powerful tools due to their high sensitivity, rapid response, and cost-effectiveness. This paper reviews recent advancements in the development of electrochemical biosensors specifically designed for real-time monitoring of environmental contaminants. The design and fabrication of electrochemical biosensors involve the integration of biological recognition elements …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 2, 2023 · pp. 31–37 Read article
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An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation
Abstract: The yield of the crop is important as the farmers are the back bone of our country India. The bacterial attack is going to ruin the early detection of these diseases on leaf and the pomegranate fruit. The proposed framework automatically grades the disease on leaves of crops. The system efficiently instructs Information and Communication Technology (ICT) in Agriculture and hence contributes to Precision Agriculture. Currently, plant pathologists mostly trust …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 4–7 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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Gourmet Sage Using Deep Learning With Calories Chart
Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and …
Published in International Journal of Image Processing and Pattern Recognition Read article
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Nanostructured Materials for Developing Biocompatible and Implantable Biosensors: Challenges and Strategies
Abstract: Nanostructured materials have emerged as promising candidates for developing high-performance biosensors due to their unique properties, such as high surface-to-volume ratio, enhanced catalytic activity, and improved electrical and optical characteristics. However, the integration of these materials into biocompatible and implantable biosensors presents several challenges, including biocompatibility concerns, biofouling, long-term stability, and efficient signal transduction. This chapter offers a thorough review of the difficulties and solutions related to creating biocompatible and …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 1, 2024 Read article
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DressCode Monitoring System
Abstract: This project aims to develop a dress code monitoring system using YOLO v5 object detection technology. Thesystem utilizes a camera to capture images or video footage of individuals entering a specific area and then uses YOLO v5 todetect their clothing and ensure that it complies with the predefined dress code standards. The system utilizes a deep learningalgorithm to accurately recognize various clothing items and differentiate between compliant and non-compliant attire. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 1, 2023 · pp. 11–19 Read article
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SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazardsremain a major concern in transportation safety. This paper presents a Smart Safety DriverDevice designed to enhance vehicle safety through real-time monitoring and automated alertmechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcoholsensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino-based controller continuously processes sensor data and activates …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 Read article
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Fleet Management using Smart Technology
Abstract: This report details the development of a prototype system designed to manage traffic at intersections using smart technology. The main goal of the project is to create a system capable of detecting vehicles and managing traffic signal lights in real time. In the final version, the system will use sensors installed on a device to detect vehicles and adjust traffic lights accordingly. At the prototype stage, however, the focus is …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazards remain a major concern in transportation safety. This paper presents a Smart Safety Driver Device designed to enhance vehicle safety through real-time monitoring and automated alert mechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcohol sensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino- based controller continuously …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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Evaluation with Wave Propagation Launch Vehicles besides Non-Intrusive Transmission Lines Failure Detection.
Abstract: The whole paper presents a principle of non-intrusive real-time network failure tracking utilizing wireless sensor networks. The core components of the detector are known as energy harvesters, waveforms and algorithms, circuits and components, and surface wave launchers. In this we have discussed a compact energy harvesting system that is capable of non-intrusively extracting power from a power cable. In terms of waveforms and algorithms, we suggest the usage of TDR …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 12–21 Read article
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Revolutionizing Healthcare: Cutting-Edge Biosensors Paving the Way for 21st Century Point-of-Care Diagnostics
Abstract: Point-of-care (POC) diagnostics stand as a transformative paradigm in healthcare, promising rapid testing directly at patient care sites. Biosensors, amalgamating biological recognition elements with physico-chemical transducers, emerge as pivotal tools in crafting rapid and sensitive POC diagnostic devices. Recent strides in nanotechnology, microfluidics, and flexible electronics have engendered a wave of innovative biosensor designs and detection methodologies. This paper provides an extensive review of the latest advancements in biosensors tailored …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 9, Issue 2, 2023 · pp. 12–19 Read article
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IoT-Based Real-Time Beam Deflection Monitoring for Structural Integrity
Abstract: Abstract Structural health monitoring is essential to ensure the safety of civil engineering constructions. Conventional laser-based methods of deflection measurement are expensive and invasive, especially for historical buildings and hostile environments such as mines and caves. This project aims to design a low-cost, non-invasive IoT-based system using strain gauges to monitor beam deflection in real-time, providing early warning for any potential structural damage. The system is based on using strain …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
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A Study on AI in 7G Mobile Communication
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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A Sensor-Based Soil Monitoring System for Better Crop Harvesting
Abstract: Crop productivity is strongly affected by soil health, environmental conditions, and the availability of timely and accurate monitoring data. Traditional soil testing and crop assessment methods are labor-intensive and time-consuming. They also lack real-time capabilities, which limits efficient agricultural decision-making. This paper proposes an IoT-enabled smart soil monitoring and crop management system that provides real-time analysis of important soil and environmental parameters to improve agricultural productivity. The proposed system uses …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 18–24 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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IOT-enabled Anti-poaching System for Protecting Wildlife and Forests Through Advanced Monitoring and Alert Mechanisms
Abstract: Forests are essential for preserving the intricate ecological harmony of our planet, serving as critical habitats for numerous animal species. Unfortunately, this equilibrium is increasingly jeopardized not only by illegal logging but also by the scourge of animal poaching the global demand for exotic animal parts and products fuels poaching, which presents a major menace to wildlife populations across the globe. The repercussions of poaching extend far beyond individual animals. …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 · pp. 36–44 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article