Search
298 articles for “Automatic Detection”
-
An Experimental Analysis on Enhancement of Electric Vehicle Safety using ADAS Technology and Forward Collision Avoidance with an Automatic Braking System
Abstract: The rapid expansion of the automobile sector in developing nations has intensified road safety concerns, particularly in congested urban environments where human error accounts for approximately 90% of all accidents. This paper presents and experimentally validates an integrated Advanced Driver Assistance System (ADAS) for electric vehicles comprising three complementary safety modules: a Forward Collision Avoidance System (FCAS) employing an HC-SR04 ultrasonic sensor interfaced with an Arduino Uno R3 to detect …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–30 Read article
-
Defense Security Shield for Military Application
Abstract: The paper delivers a defense security shield, which is an innovative system aimed at enhancing military border security through the implementation of cutting-edge technology. Leveraging the capabilities of Raspberry Pi 4B, a camera module, servo motor, and buzzer, this system operates as an automatic aiming gun, designed to detect and respond to potential threats. The core functionality is driven by sophisticated person detection algorithms, ensuring accurate identification, and tracking of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 14–24 Read article
-
Design of an ArUco Marker-Guided Smart Trolley with Integrated Billing Estimation
Abstract: The growing adoption of automation in retail environments has increased the need for intelligent systems that improve user convenience and reduce manual effort. This paper presents the design and development of a human-following smart shopping trolley with an integrated automatic billing system based on computer vision. The proposed system employs ArUco marker–based human tracking to achieve reliable and real-time following behaviour. A Raspberry Pi serves as the central processing unit, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 55–65 Read article
-
Automatic Gate Based on Facemask and Temperature Detection
Abstract: The coronavirus COVID-19 pandemic has been spreading over the world for months and is producing a serious health problem. According to the World Health Organization, wearing a face mask in all situations where people are congregated is a beneficial and safe strategy (WHO). India's large population would make it difficult to prevent the coronavirus from spreading. Face masks and sanitizers are the most effective methods of preventing transmission. When it …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 24–37 Read article
-
U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
-
A Review on Social Distancing ID Card
Abstract: The frequency of fire accidents in homes, industries, and public spaces has increased due to electrical faults, human negligence, and flammable materials. Traditional fire-fighting systems often depend on human presence and manual intervention, which delays the response time. To overcome this limitation, this project presents an Automatic Fire Extinguisher System based on Arduino and IoT technology for real- time detection and suppression of fire. Gas, temperature, and flame sensors are …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 28–38 Read article
-
Salient Region Guided Deep Network for Violence Detection in Surveillance Systems
Abstract: Abstract: It is significant to detect violent actions in video surveillance systems automatically, for example, bus stands, malls and railway stations. Though, the earlier detection techniques generally extract statistic features around the spatiotemporal interest points or extract descriptor in the regions where movement takes place, leading to limited abilities to successfully detect violence activities in video surveillance systems. To solve this problem, a new approach for the automatic detection of …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 3, 2019 · pp. 19–28 Read article
-
Histogram of Gradient (HOG) Method of Glaucoma Detection in Human Beings
Abstract: This study gives a brief information about the design and development of algorithms for the automatic detection of glaucoma using histogram of gradients methods with the classification being done using support vector machines.Keywords: Glaucoma, HOG, SVM, algorithms, gradient methodsCite this Article Fazlulla Khan, Ashok Kusagur. Histogram of Gradient (HOG) Method of Glaucoma Detection in Human Beings. Journal of Computer Technology & Applications. 2020; 11(1): 4–8p.
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 4–8 Read article
-
A Survey on Neural Network based Classifier for Arrhythmia Detection
Abstract: Electrocardiogram (ECG) is one of the important diagnostic tool for the detection of the heart problem. Increasing number of cardiac patients need automatic detection techniques for various abnormalities or arrhythmias of the heart to reduce pressure on physicians and share their load. Coronary Care Units (CCUs) emphasizes on the task of accurate analysis of ECG signal at an early stage that can prevent disease, like tachycardia, to escalate there by …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 88–97 Read article
-
Shape Features based classification of Herbal Plants from its Powder using Microscopic Image
Abstract: An identification and classification of herbal plants from its powder using the microscopic image is a challenging task. In this paper, a new approach for identification and classification of Indian herbal plants liquorice, rhubarb and dhatura using the microscopic image is proposed. This paper evaluates the effectiveness of the shape based features with a different classifier for classification of herbal plants. The analysis of microscopic images performed in three stages: …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 48–58 Read article
-
Image Processing Based Analysis of Fundus Images for Glaucoma Detection
Abstract: Precise and prompt identification of glaucoma is essential for its treatment. Fundus images provide important information, which shall be extracted using carefully designed image processing algorithms. The paper discusses a methodology for automatic detection of glaucoma from fundus images. The technique makes use of an elaborate image segmentation process, wavelet decomposition for feature selection and a proven classification model.Keywords: Glaucoma, fundus image, discrete wavelet transform, SVM classifierCite this ArticleShibina M.P, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 33–39 Read article
-
Facial Emotion Recognition Using CNN and OpenCV: A Review
Abstract: Emotion Recognition Using a Facial Feature Recognition is a prominent area of study in the world of Human Computer Interaction (HCI). Humans may express a wide range of emotions and moods through facial movements and body language. In this project, in order to detect the live emotions from the human facial gesture, we will be using an algorithm that allows the computer to automatically detect the facial recognition of human …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
-
Automatic Fire Extinguisher Sprinkler System: An Innovative Solution for Fire Safety
Abstract: The Automatic Fire Extinguisher Sprinkler System is an advanced safety feature designed to quickly respond to fires in buildings. This system automatically detects heat or smoke and releases fire-suppressing agents to put out the flames before they can spread. The persistent risk of fire hazards in various sectors, including residential and commercial environments, has led to the innovation of sophisticated fire safety systems. Among these, the automatic fire extinguisher sprinkler …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 1, 2025 Read article
-
Embedded System for Rain Sensing Car Wiper
Abstract: The automatic rain wiper system aims to detect rainfall and activate windshield wipers automatically, eliminating the need for manual intervention by the driver. For over a century, the driver has been the one operating the windshield wiper. The wiper should be turned on when the driver feels that driving the vehicle is difficult and that better vision is necessary. On the other hand, since the driver must concentrate solely on …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 Read article
-
Advancing EEG Technology for Affordable and Effective Epilepsy Detection
Abstract: For a proper diagnosis and prompt treatment, epilepsy, a neurological condition marked by recurring seizures, needs to be continuously monitored. Manual interpretation is frequently used in traditional approaches for identifying epileptic seizures from electroencephalogram (EEG) signals, which can be laborious and error-prone. In this research, a novel method for automatically detecting epilepsy from EEG data using deep learning algorithms is presented. According to centers for disease control and prevention (CDC) …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
-
Smart Gallery Lighting System
Abstract: This paper proposes the energy efficiency of a smart gallery lighting system based on a low-cost microcontroller. The main objective is to design energy efficient based system for controlling the tube lights based gallery lamps via appropriate lighting based on movement. We aim to make a smart gallery lighting system that glows only when it is necessary and goes to the OFF position when it is not, in a very …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 2, 2021 · pp. 13–17 Read article
-
The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
-
The Family Health Nursing Process: A Holistic Approach to Wellness
Abstract: Aim: Nurses’ perceptions of profession are critical to the quality of healthcare services. This study aimed to identify the effect of occupational safety and job satisfaction levels on nurses’ perceptions of their profession. Methods: The research was structured following the relational screening model. The participants were 421 nurses who completed instruments consisting of a Personal Identification Form, the Occupational Safety Scale in Hospitals, the Minnesota Satisfaction Questionnaire and the Nursing …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 2, 2024 · pp. 12–25 Read article
-
Detection of Cyberbullying on Social Media Using Machine Learning
Abstract: Online harassment disturbance by cyberbullying has grave repercussions. The majority of social networks have it in textual format and it exists in various forms. It is undeniable that more than 1.96 billion people are affected by social interactions online. However, as we move into the next decade, there are significant challenges to be faced in regulating user behaviour. The prevalence of harassment, bullying, and victimization has become a serious problem …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 21–30 Read article
-
Fake News Detection System Using MultinomialNB and Django Framework
Abstract: The emergence of the World Wide Web and the rapid growth of online platforms have transformed the landscape of news dissemination. However, the rise of social media has also led to an overwhelming influx of potentially unreliable information, making it increasingly challenging to verify the truthfulness of articles. This verification process has become a daunting task, necessitating a thorough examination of various domain-specific aspects to ascertain the credibility of news …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article