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298 articles for “Automatic Detection”
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A Review on Crowd Analysis Techniques
Abstract: AbstractNowadays Crowd analysis is an active open research problem in Computer Vision field. Its various applications like Crowd management, Public space design, Virtual environments, Visual surveillance, and intelligent environments attract researchers. Today security is major concerned, and any abnormal activity can automatically be detected by crowd analysis, so this research topic has got good attention of different researchers. Abnormal activity detection in the crowd is a very challenging task because …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 119–126 Read article
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Wavelet Based Speckle Noise Reduction in Synthetic Aperture Radar Images
Abstract: Synthetic aperture radar (SAR) is an active imaging system that can achieve high resolutions both in range and azimuth. Speckle noise is one of the most critical disturbances that alter the quality of SAR coherent images. Before using SAR images in automatic target detection and recognition, the first step is to reduce the effect of speckle noise. In this paper, filtering techniques compares with proposed method have been used on …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 1, 2015 · pp. 26–30 Read article
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Traffic Sign Detection and Recognition Using Deep learning based- Convolutional Neural Network Algorithm
Abstract: The concept of Deep Convolutional Neural Organizations (CNNs) is a quickly arising new zone for Automatic traffic sign detection and recognition among the few master frameworks, such as independent driving and driver assistance. Here, in this paper, for traffic sign detection, we have utilized another methodology that uses a newly developed identification calculation and an RGB-based tone thresholding procedure. Results of the proposed identification and acknowledgement approaches are assessed on …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 1, 2021 · pp. 24–29 Read article
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Design and Implementation of a Real-Time ANPR-OCR Based Embedded System for Automated Vehicle Compliance Verification-Checking Valid PUC and Insurance
Abstract: With the rapid increase in vehicle ownership, ensuring adherence to traffic regulations has become essential, particularly concerning vehicle insurance and Pollution Under Control (PUC) certification. Non-compliance with these requirements can lead to financial risks, legal violations, and environmental damage. Traditional enforcement methods rely on manual inspections, which are time-consuming, inefficient, and prone to human error. To address these challenges, this paper proposes an automated system that utilizes Automatic Number Plate …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Design of a Verilog HDL-Based Advanced Intelligent Automatic Railway Gate Control System
Abstract: Human mistake, sluggish reaction times, and manual gate operation are common causes of railway level crossing accidents. This project suggests an Intelligent Automatic Railway Gate Controller made with Verilog HDL and simulated in Xilinx Vivado to lessen these mishaps. With the goal of improving safety at unmanned railway crossings, the system is intended to offer a dependable and entirely automated solution. Without human interaction, the railway gate is automatically controlled …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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A Review on Automatic Railway Gate Control System
Abstract: Railway transportation is one of the most efficient and widely used modes of transport; however, safety at level crossings remains a critical issue, especially at unmanned or manually operated gates. A significant number of accidents happen as a result of human carelessness, insufficient coordination, and postponed gate operations. To address these issues, the Automatic Railway Gate Control System has been created as a viable solution to improve safety and minimize …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 1–7 Read article
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Design and Development of Control and Management Systems for Smart Homes
Abstract: The smart home and management system in this study are powered by D.C. batteries. Before running out of power, a fully charged battery can last for 2 to 3 days. When you turn on the system, the maximum temperature and the name of the study are shown on the LCD. Additionally, it will demonstrate that no one is in the house. As more individuals enter the house after you click …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 2, 2022 · pp. 12–29 Read article
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Sensor- based Intelligent Wearable Sun-Glasses
Abstract: The sudden onset of rain is a familiar and annoying experience for anyone who wears glasses when it comes to the weather. Your vision becomes hazy, droplets obscure the world around you, and the frequent desire to wipe your face results in smudges and activities that are disrupted. Despite the fact that sunglasses shield our eyes from the sun& glare, they do not provide any protection from the elements. On …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 17–25 Read article
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Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 Read article
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Handwritten Digit Recognition Using Logistic Regression, SVM, KNN and CNN Algorithms
Abstract: The style of handwriting varies from person to person. Handwritten numbers are not always the same size, orientation and width. To develop a system to understand this, the machine recognizes handwritten digit images and classifies them into 10 digits (from 0 to 9). The recognition of handwritten digits is a technology which is used for the automatic recognizing and detecting handwritten digital data through various deep lerning and machine learningmodels. …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 2, 2022 · pp. 20–28 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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A Novel Method for Advanced Fish Farming Implemented Using Arm Processor
Abstract: AbstractAt present fish farming is a good opportunity for youngsters and it can resolve the issue of unemployment but due to the lack of technical knowledge most of the people failed in this area. The typical issues faced by the farmers are mainly some of the water parameters such as PH, Ammonia, and Temperature. Our innovative system can solve this problem. The system can check the quality of water and …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 1, 2020 · pp. 20–23 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Old Age People Fall Detection Wearable Device
Abstract: The aim of this paper is to express application of old age people fall detection medical alert wearable device which continuously monitor body orientation of old age people with help of Razor IMU (which incorporates three sensors - an ITG-3200 (MEMS triple-axis gyro), ADXL345 (triple-axis accelerometer), and HMC5883L (triple-axis magnetometer) - to give you nine degrees of inertial measurement) when fall is detected it will automatically send SMS after10 sec …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 2, 2016 · pp. 28–32 Read article
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Backup Solid State Drive for Ransomware Protection
Abstract: Ransomware is a type of malicious software that can block a users’ access to their own files and restricts access until a ransom amount is paid. There is no certainty that we would get our files back even after paying the ransom amount. Since these ransomware attacks are increasing day by day and are causing heavy losses to people, we have proposed a new backup based ransomware defense system along …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 12–18 Read article
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Fabrication of Solar-powered Drainage Cleaning Machine
Abstract: According to sources, 80% of solid trash in India is dumped in drainage systems, rivers, lakes, and other bodies of water. This is a significant problem. The primary function of the automatic drainage system is to transfer solid waste to the trash can, where it is disposed of, and to collect it using claws.In drainage water, there are empty bottles, polythene bags, papers, and other solid detritus. The drainage system …
Published in Trends in Machine design · Vol. 10, Issue 1, 2023 · pp. 45–52 Read article
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Accident Identification And Alerting System Using MSP430
Abstract: The "Accident Identification and Alerting System using MSP430" is an innovative project that focuses on enhancing road safety and emergency response mechanisms. This system harnesses the capabilities of the MSP430 microcontroller to continuously monitor a vehicle's movements and orientation through sensors and GPS modules. Using sophisticated algorithms, it can detect and identify accidents by analyzing data from the sensor. When an accident is detected, the system automatically triggers alerts to …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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EMERGING CHALLENGES IN RFID IN LIBRARY: A REVIEW
Abstract: A library is a living, breathing entity. Because of the advancement of the Internet and new information technology, library and information workers now have tremendous potential. RFID (Radio Frequency Identification), the pinnacle of ubiquitous computer technology, has long been the talk of the town and is employed by a variety of organizations, including libraries and information centers. RFID is a cutting-edge automated library technology that automatically identifies and tracks library …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 Read article
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Optimized Residual Neural Network for Audio Spoof Detection in Speaker Verification Systems
Abstract: The Automatic speaker verification system is a type of biometric technology that utilizes speech to determine if a person is an authentic user or not. Unfortunately, such systems can be susceptible to audio-spoofing attacks. The proposed work deals with this problem of Audio Spoofing by employing Residual Networks to determine if a voice signal is bonafide or not. A comparative study of Mel-frequency Cepstral coefficients (MFCC), Constant Q Cepstral Coefficients …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 19–32 Read article
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Automatic Lightning and Control System
Abstract: This study describes the design and execution of a novel Automatic Lightning and Control System, which turns on and off electrical devices, including lighting circuits, automatically when people are present and off when they are not. Improving the electrical system's dependability and efficiency is the system's goal. Most universities squander a large amount of electrical energy turning on and off fans, computers, and other devices. This system is designed to …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 3, 2024 Read article