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297 articles for “Automatic Detection”
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Electricity Theft Detection in JSS Boys Hostel
Abstract: This paper proposes an IoT-based system for real-time detection and prevention of electricity theft. The system integrates energy meters, optocouplers, relays, Arduino Uno, and Node MCU. It monitors energy usage discrepancies and automatically cuts power to users exceeding a predefined threshold. This approach offers real-time theft prevention, automatic disconnection, and seamless integration with existing infrastructure. By leveraging IoT, the system empowers utilities to improve efficiency, reduce losses, and safeguard the …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 28–34 Read article
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Advanced Automatic Self-Car Parking Using Arduino
Abstract: Car parking is a major tricky in urban areas in both developed and developing countries. Following the rapid increase of car ownership, many cities are lacking car parking areas. This imbalance is partially due to ineffective land use planning and miscalculations of space requirements during first stage of planning. Shortage of parking space, high parking tariffs, and traffic congestion due to visitors in search for a parking place are only …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 1, 2021 · pp. 1–5 Read article
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Pneumonia Detection Using Deep Learning–Convolutional Neural Network
Abstract: Pneumonia disease is associate in nursing infectious and deadly illness in metabolic process that is caused by microorganism, fungi, or a deadly disease that infects the human respiratory organ air sacs with the load choked with fluid or pus. Chest X-rays area unit the common methodology accustomed diagnose respiratory disorder and it wants a health worker to gauge the results of X-ray. The hard methodology of detection of the respiratory …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 9–16 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Vehicle Number Plate Detector
Abstract: In real word, traffic is so high unable to control and check all the vehicles passing by through highways and roads. Every country's traffic management and car owner identification has become a key issue. It might be tough to spot drivers who break traffic laws and drive too fast at times. As a result, it is impossible to apprehend and penalise such individuals because traffic officers may be unable to …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 24–31 Read article
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AIS-based Anomaly Detection for IUU Fishing Activities
Abstract: The future of the Earth’s fish businesses is seriously threatened by the continuous use of illegal or illicit, unreported, and unregulated (IUU) fishing methods, a growing global demand, and deteriorating ocean ecosystem health. The livelihoods of legal fishing are also harmed by IUU fishing. The ongoing efforts to develop sustainable fisheries policies are also hampered by this. In order to manage fishery resources and ensure the safety of maritime traffic, …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 22–36 Read article
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Automatic Railway Horn System Using Node MCU
Abstract: The Automatic Railway Horn System (ARHS) presented in this project employs techniques to dynamically adjust the frequency of the train horn based on various parameters such as train speed, proximity to crossings, and other safety considerations. Traditional railway horn systems often lack adaptability and may not adequately address changing environmental conditions. The proposed ARHS aims to enhance safety and minimize noise pollution by intelligently modulating the horn frequency in real-time. …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 11–19 Read article
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Kinect Based Physical Player Interactive Game Using Mealy Model in Unity K-Infinite Runner
Abstract: AbstractRecently, game structures are designed using NFA (Non-Deterministic Finite Automata) and DFA (Deterministic Finite Automata). NFA can reside at the same time in multiple states and hence it must be converting into DFA and then we used DFA to implement the game design. Conversion takes extra efforts and sometimes leads to ambiguous states. In our proposed modeled game, we used a Mealy machine to implement a game design which describes …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 25–34 Read article
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REVIEW AND ANALYSIS OF AUTOMATIC WATER BOTTLE FILLING AND CAPPING MACHINE USING PLC
Abstract: Filling is an important process of the automatic machine and is used in different industry such as mineral water, beverage, chemical, food and dairy as well as pharmaceuticals. In today's manufacturing environment, with the need for higher production rates, better product quality and less manual effort, industrial automation is becoming a key requirement. The primary goal of this project is to design, develop and control an automatic bottle filling and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Automatic Laser Welding Machine Using PLCs
Abstract: This paper presents the design and implementation of an automatic laser welding machine controlled by a Programmable Logic Controller (PLC) technology. Laser welding has gained significant attention in various industries due to its precision, speed, and efficiency. However, manual operation of laser welding systems can be labor-intensive and prone to errors. The proposed system aims to address these challenges by automating the welding process using PLC-based control. The system architecture …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 9–15 Read article
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RFID Technology Adoption in Libraries: A Review of Current Trends and Challenges
Abstract: The radiofrequency identification system (RFID) makes it possible for devices like computers or machines to automatically recognize things, record metadata, or control certain targets. Identifying objects that are out of direct line of sight is feasible thanks to a technology called radio frequency identification, or RFID. For administering the automated library and detecting theft, libraries are using themost recent technologies. The inventory, issuance, and return status of books, gadgets, and …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 2, 2023 · pp. 1–6 Read article
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ESP32-Based Vehicle Security and Driver Safety System
Abstract: This paper presents an ESP32-based intelligent vehicle security and driver safety system designed to improve both automobile protection and road safety through advanced sensor integration and real-time monitoring. The proposed system combines biometric authentication, driver behavior analysis, obstacle detection, and emergency communication into a single compact platform. A fingerprint sensor (R307) is used to provide secure vehicle access, ensuring that only authorized users can start the vehicle. To enhance driver …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 9–18 Read article
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Identification of Handwritten Digits using Machine Learning
Abstract: Handwritten Digit Recognition is one of the practical issues in sample recognition applications. The task for handwritten recognition has been difficult due to various variations in written styles. The capacity to create an effective algorithm that can detect handwritten numbers given by users via a scanner, tablet, and other digital devices is at the core of the issue. Artificial intelligence is used in machine learning, which automatically corrects errors based …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 19–26 Read article
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Automatic characteristic analysis method of multi-degrees-of-freedom planetary gear train based on graph theory
Abstract: The purpose of this paper is to develop a computer-aided analysis method of the planetary gear train (PGT) based on graph theory. In this paper, a novel graph model is developed to represent the structure of the PGTs. Then, according to the gear shift strategy, the characteristic analysis models are deduced for each operating mode. The structure of the graph model is efficiently described through several variations of the incidence …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 2, 2026 Read article
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Smart Safety: Evaluating Inviguard as an Innovative Wearable for Head Protection
Abstract: This study details INVIGUARD, an innovative head protection wearable device designed to prevent falls and accidental collisions for the special people. The device is neck-worn and utilizes a unique structure in the form of a honeycomb which when a threat is recognized will expand in volume to form a protective shield around the head whilst in normal usage is small in size; when the danger is no longer perceived. Such …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 1, 2025 · pp. 15–26 Read article
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IoT based Automated Car Parking System
Abstract: AbstractThis work is focussed on solving one of the major issues that modern metropolitan cities facing now i.e. “How to maximise the utility of space for car parking”? Since the world is getting automatic day by day, this project is a small leap towards automated space management system. In this project we incorporated micro controller along with couple of type of sensors to detect incoming and outgoing of cars along …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 25–29 Read article
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Automated Vessel Segmentation of Retinal Vessels using Hybrid Region Information
Abstract: AbstractRecent researches state that the categorization of retinal vessels into artery/vein (A/V) is a critical phase for automating the detection of vascular adjustments and for the calculation of function symptoms related to numerous systemic illnesses which includes diabetes, high blood pressure, and different cardiovascular situations. This paper affords an automatic method for A/V class, primarily based on the evaluation of a graph extracted from the retinal vasculature. The proposed method …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 28–36 Read article
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Compound Transmission Security for Mobile Cloud Computing Using Spread Spectrum Technique
Abstract: By accessing data stored in remote data centres, "mobile cloud computing" provides users with IT services tailored to their specific needs. It also provides the infrastructure to support hosting for pervasive applications in the corporate, scientific, and consumer spheres. The cloud or data centre server cannot automatically lease the appropriate amount of services based on the needs of the users. So, Mobile Cloud Computing (MCC) consists of three sub-modules viz. …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 3, 2023 · pp. 8–28 Read article
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AccuPark: Intelligent Parking Using Wheel Detection
Abstract: Nowadays Due to rapid urbanization and the increasing number of vehicles in India, major traffic problems have emerged in cities. The lack of parking spots is one of the main causes. Even when parking spaces are available, they are often not properly managed. Additionally, improper and unorganized parking by individuals leads to inefficient use of available space, further worsening traffic congestion as people tend to park their vehicles anywhere. This …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Plants Disease Detection Using TensorFlow and OpenCV
Abstract: Growing healthy and productive crops is crucial in the global battle for food security. To minimize crop losses and apply timely control measures, early and precise diagnosis of plant diseases is essential. Conventional illness detection techniques are subjective, labor-intensive, and complicated; they frequently rely on eye inspection. The TensorFlow and OpenCV libraries are used in this study to explore the use of Convolutional Neural Networks (CNNs) for plant disease discovery. …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 31–38 Read article