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344 articles for “Feature Detection”
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Accident Detection and Alcohol Detection Using Smart Helmet
Abstract: In an era driven by technology and a growing concern for safety, the concept of the 'Smart Helmet' has emerged as an evolved solution, combining innovation and practicality to redefine head protection and user experiences. Just imagine a helmet that is not just a helmet but a high-technology gadget for your head. The smart helmet is a fusion of technology with a traditional helmet. Helmets are rationally designed to protect …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 2, 2023 · pp. 31–39 Read article
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Assessment of Polycystic Ovarian Syndrome with Emphasis on Imaging Modalities
Abstract: Polycystic Ovarian Syndrome (PCOS) is a higly prevalent hormonal disorder that affects women during their reproductive age. It is linked to a wide range of health concerns ,including disturbances in reproductive functions, metabolic abnormalities and an increased risk of cardiovascular diseases. Ultrasonography plays a crucial role in identifying polycystic ovarian morphology, which constitutes one of the key diagnostic criteria under the Rotterdam consensus. This prospective cross-sectional observational study was conducted …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 Read article
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Assessment of Polycystic Ovarian Syndrome with Emphasis on Imaging Modalities
Abstract: Polycystic Ovarian Syndrome (PCOS) is a higly prevalent hormonal disorder that affects women during their reproductive age. It is linked to a wide range of health concerns ,including disturbances in reproductive functions, metabolic abnormalities and an increased risk of cardiovascular diseases. Ultrasonography plays a crucial role in identifying polycystic ovarian morphology, which constitutes one of the key diagnostic criteria under the Rotterdam consensus. This prospective cross-sectional observational study was conducted …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 48–54 Read article
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Human Following Robot Using Arduino Uno
Abstract: A human-following robot is a mobile autonomous system designed to detect, track, and follow a specific individual in real-time while navigating through dynamic environments. This feature is essential for various applications, including delivery services, healthcare assistance, personal support, and collaborative industrial operations. It enhances efficiency, safety, and user experience by enabling intelligent and responsive interactions, making it an asset in both commercial and personal environments. The robot integrates cameras, LiDAR, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 26–31 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Smart Helmet Driven by Arduino Features Adaptive Sensors and Wireless Communication Technology
Abstract: Equipped with wireless communication technology, sensors, and a microprocessor, the Arduino-Futured Smart Helmet constitutes an incredibly powerful and efficient device. The microcontroller serves as the brains of the helmet, receiving and processing data from the sensors and guiding the other components as necessary. This technology allows the helmet to monitor its surroundings and respond to them immediately. The integrated sensors in the helmet measure temperature, humidity, and fluctuations in the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 7–13 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Facial Biometrics for Attendance System
Abstract: This paper discusses the necessity for effective student attendance management systems by proposing a smart attendance management system utilizing biometric technology. It is well recognised that manually recording attendance is time-consuming and error prone. In this study, we propose a Facial Biometrics attendance system that automates attendance process without requiring human intervention. The system consists of a camera placed in the classroom to take pictures of the pupils. Subsequently, the …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 36–44 Read article
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Flora Guardian: An Advanced Robotic System for Sustainable Weed Control and Precision Pesticide Application
Abstract: Agricultural systems are under pressure to enhance crop productivity while minimizing environmental damage. Efficient weed control and pesticide application are fundamental for sustainable agriculture, but traditional methods often fall short due to high labor costs and ecological harm. Existing robotic solutions, including drones and multi-legged robots, exhibit significant limitations, such as operational complexity and limited payload capacity. In contrast, Flora Guardian represents a novel approach by combining of weed detection …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 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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Real-world Pothole Detection Using Image Processing and Deep Learning Convolutional Neural Network Model
Abstract: Potholes are a major problem of concern in many parts of the cities across the country. Road accidents are one of the causes that significantly affect humanity and result in damage to vehicles and road surface. Potholes are dangerous for pedestrians who walk along the road and vehicular traffic on busy roads. Road accidents are caused due to improper maintenance of roads, and it is imperative to attend to such …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 95–103 Read article
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Solar-Powered Electric Vehicle Charging Station Enhanced by IoT Integration
Abstract: This project introduces a solar-powered electric vehicle (EV) charging station that incorporates Internet of Things (IoT) technology to enhance monitoring and operational contr While the integration of solar energy for renewable power generation is promising, the real-time solar voltage monitoring system raises questions about the overall efficiency and dependability of solar energy under variable environmental conditions. The automatic detection of a vehicle’s position over the wireless charging coil, eliminating manual …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 23–32 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article