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573 articles for “real-time processing”
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Cybersecurity of AI and IoT Integrated for Mechanical Industries
Abstract: By facilitating the concept of Industry 4.0, the intersection of artificial intelligence (AI) and the Internet of Things (IoT) has changed the mechanical industries. When combined, these technologies are advancing process optimization, predictive maintenance, real-time condition monitoring, and smarter automation. In order to give proactive system control and intelligent decision-making, AI algorithms mine large datasets generated via IoT devices for relevant patterns. In the meanwhile, IoT guarantees smooth communication between …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 27–33 Read article
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Hand Gesture Control Robotic Arm using OpenCV and NodeMCU
Abstract: In this research paper, an innovative method is proposed for controlling a robotic arm through the use of hand gestures, utilizing the advanced features of Node MCU and OpenCV. By bringing together these cutting-edge technologies, the system enables seamless real-time communication and image processing between the user and the robotic arm. The process involves capturing hand gestures through a camera and using the powerful OpenCV library to identify and interpret …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 1, 2024 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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Library Development: Transition from Traditional to Artificial Data
Abstract: Presently, conventional libraries, although using information tools, are encountering difficulties in effectively managing books. Traditional libraries must embrace innovation and adapt to the AI society in this technological age. Internet-of-things (IoT) technologies have the capability to collect data in real-time. By implementing business process re-engineering, it is possible to improve and optimize certain procedures. Implementing an AI library management system that incorporates IoT and automates the fundamental operations of a …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 33–39 Read article
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LPG GAS Weight Measuring Stand.
Abstract: The LPG Gas Weight Measurement Stand is a novel project, with the target to measure the leftover weight of Liquefied Petroleum Gas (LPG) in cylinders precisely so that it can be consumed efficiently and also refilled punctually. Traditional methods depend upon manual guess or weighing scales, which are tiresome and inaccurate. The project presents a dedicated weighing stand with a load cell sensor, microcontroller (such as Arduino or ESP8266), and …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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Investigations On Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene Sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis
Abstract: This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 223–241 Read article
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BVC Edupay – Smart College Fee Payment System
Abstract: Fee management has become a crucial component of modern educational institutions, with increasing reliance on digital platforms to handle financial transactions and administrative processes. However, students and staff often encounter challenges such as scattered fee information, manual verification procedures, delayed payment updates, and limited transparency across departments. To address these issues, BVC EduPay – Smart College Fee Payment System is developed as a centralized digital platform that consolidates academic fees, …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 Read article
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IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing
Abstract: Environmental conditions, especially temperature and humidity, play a vital role in pharmaceutical manufacturing processes. Even minor fluctuations in these parameters can significantly influence the stability, potency, and overall effectiveness of drug formulations. In many cases, uncontrolled environmental variations may lead to chemical degradation, reduced shelf life, contamination risks, and substantial financial losses for manufacturers. Therefore, maintaining precise and consistent environmental conditions is essential to ensure product quality, regulatory compliance, and …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 32–37 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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IoT-Based School Bus Transportation Safety and Tracking System
Abstract: The safety of children during school commutes is a growing concern for both parents and school administrations. This paper presents an IoT-based School Bus Transportation Safety System that offers real-time tracking, biometric authentication, and emergency detection to ensure the safety of school children. The system utilizes a combination of NodeMCU, Arduino Uno, GPS, fingerprint modules, and sensors to provide a secure and efficient school transportation process. Parents and administrators can …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 56–65 Read article
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IoT and Node MCU based Smart Logistics
Abstract: Logistics plays a key role in global economies, encompassing the planning, implementation, and control of goods movement. Traditional logistics systems often suffer from inefficiencies, such as manual tracking, delays, and lack of real-time visibility, leading to increased costs and environmental waste. The advent of IoT has revolutionized this sector by enabling interconnected devices to gather and argument data seamlessly. At the heart of many IoT applications is Node MCU. It …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 38–50 Read article
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Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Sense Wear: Empowering Accessibility for the Visually Impaired
Abstract: “Sense Wear: Empowering Accessibility for the Visually Impaired ”This paper presents a novel approach to enhancing accessibility for visually impaired individuals through the integration of computer vision technology with wearable garments, specifically hoodies. The proposed system leverages object recognition algorithms to assist users in identifying and navigating their surroundings independently. By embedding a small camera and processing unit within the hoodie, real-time visual data is captured and analyzed to detect …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Next-generation Operating Systems: AI-driven Autonomy, Quantum Integration, and Edge Computing
Abstract: The rapid evolution of computing paradigms is driving the need for next-generation operating systems that seamlessly integrate artificial intelligence, quantum computing, and edge processing. Traditional operating systems, while efficient for classical computation, lack the necessary capabilities to handle real-time AI-driven decision-making, quantum processing, and decentralized edge networks. This study explores how future operating systems will incorporate AI-driven autonomy to enhance resource management, quantum integration to leverage superior computational power, and …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article