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161 articles for “CAM model”
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Human Body Movement Identification
Abstract: AbstractHuman Body Movement Identification is the recognition technique of moving human behavior, it detects and traces the moving human body movements. A 3D human body is expressed by a multi-joint model and describe the posture by a set of joint angles. It is necessary to recognize the human body movements for computer-human interaction. It is useful in many scientific and security fields. It can be used in camera surveillance, sports …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 1, 2021 · pp. 13–22 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 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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Constrained Online Non Negative Matrix Factorization (CONMF) for Visual Tracking
Abstract: Visual tracking is the process of locating a moving object (or multiple objects) over time using a camera. It is one of the most important components in numerous applications such as military, secure control, crime prevention systems, access control and biometric identification etc. of computer vision. In visual tracking, holistic and part-based representations are both popular choices to model target appearance. The former is known for great efficiency and convenience …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 8–18 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Parameters of “Safety” in the Food Additive Industry: A Review of Risks and Benefits
Abstract: “Safety is in the eye of the beholder.” What is deemed “safe” by one observer may seem dangerous or risky to others. To approach this apparent quandary and assure ongoing scientific input, most food additives should be tested on laboratory animals and subsequently monitored if approved for human or animal consumption (i.e., parallel to the pathway for the approval of drugs). The term “safety” in the study of the toxicology …
Published in Research and Reviews: A Journal of Toxicology · Vol. 5, Issue 2, 2015 · pp. 7–13 Read article
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Bacteriocin Production and Characterization Obtained from Lactobacillus sakei
Abstract: Natural preservatives such as bacteriocins become an attractive alternative in the substitution of chemical preservatives, which have eventual potential for toxicity and carcinogenic effect. In this study, a bacteriocin was produced from a strain of Lactobacillus sakei, isolated from Italian salami. The data obtained in this paper revealed that the antimicrobial activity of bacteriocin was higher than 85% in the assays using the Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 10, Issue 1, 2021 · pp. 27–36 Read article
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Hydrodynamic Analysis of Symmetrical Naca Airfoils: A CFD Simulation Approach
Abstract: This study presents a comprehensive numerical investigation of the hydrodynamic characteristics of selected NACA airfoil profiles using advanced computational fluid dynamics (CFD) simulations performed in ANSYS Fluent. The primary objective is to evaluate the fluid–structure interaction behavior of these airfoils when subjected to marine flow conditions relevant to offshore and submerged engineering applications. By modeling the interaction between incompressible fluid flow and various NACA geometries, the study systematically analyzes key …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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A Multimodal AI-Based System for Real-Time Harassment and Violence Detection Using Surveillance Cameras
Abstract: Public safety in urban settings, as these areas are crowded and experience increasing incidents of harassment, verbal abuse, and physical violence. Traditional CCTV surveillance systems heavily rely on human operators who have to continuously monitor the video feeds, which is inefficient and prone to human error. AI-based harassment and violence detection systems automatically monitor public environments in real-time using video and audio analysis. The system is based on a multilayer …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 8–21 Read article
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A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Multi-Sensor System for Underwater Pothole Detection to Enhance Road Safety During Monsoon Seasons
Abstract: Monsoon seasons across India and similar tropical regions severely compromise road safety by causing water accumulation that conceals dangerous potholes beneath stagnant pools, leading to frequent vehicle damage, tire punctures, and fatal accidents. Traditional detection methods relying on smartphone accelerometers, ultrasonic sensors, or machine vision fail under flooded conditions due to acoustic signal reflection at water surfaces and optical distortions from glare and turbidity. This research proposes an innovative multi-sensor …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Object Tracking Using Finite Element Method and Branching Filter
Abstract: AbstractWe present an approach to robustly track the object behavior that turns over time from a set of input points from a single viewpoint. The distortions considered are caused by applying forces to known Harris function on the object’s surface. Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a finite element method to predict the …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 35–40 Read article
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An Automated Facial Mask Detection System for Minimizing COVID-19 using Multi-Task Cascaded CNN Model
Abstract: An outbreak triggered by a new coronavirus has continued to spread over the globe till today. Nearly every area of development has felt the effects of COVID-19. The state of healthcare is now quite problematic. One of the many preventative steps adopted to limit the spread of this illness is the use of a mask. To limit the spread of COVID-19, we propose a system that identifies persons who are …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 2, 2022 · pp. 1–13 Read article
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Python: Empowering Data Science Applications and Research
Abstract: It was in 1991 that the first mention of Python came to light. Since it is one of the best programming languages, it is widely used in the data analytics industry. It is speedy, easy to use, and can smoothly alter data with no hiccups. It aids in the processes of data analytics generally, such as data collection, analysis, modelling, and visualization. Python stands out from other languages because it …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 27–33 Read article
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Advancing UAV Video Transmission: A Full-Duplex System with RF and Signal Processing for Reliable, Long-Range HD Communication
Abstract: Unmanned aerial vehicles (UAVs) have transformed industries by enabling advanced aerial imaging and data collection. However, transmitting high-definition (HD) video from UAVs to ground stations poses challenges such as limited range, bandwidth constraints, and interference. This paper presents the development of an HD, full-duplex video transmission system using cutting-edge electronic technologies, including advanced radio frequency (RF) systems and signal processing. These electronic systems are designed to ensure fast, reliable, and …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 38–45 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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Comparative Assessment of Using Visual and Close Range Photogrammetry Techniques to Evaluate Rigid Pavement Surface Distresses
Abstract: AbstractThe main task of this study is to introduce the close range photogrammetric approach for evaluation of rigid pavement surface condition, and compare the findings with the traditional visual evaluation technique. The visual inspection was conducted by walking through the roadway and evaluating the pavement surface distress visually. As for the photogrammetric fieldwork, it starts with generation of ground control points around the area of distress. A total station device …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 28–36 Read article
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A Review on Various Image and Video Restoration Techniques
Abstract: Reconstruction of low value deteriorated image into high quality improved image is termed as image restoration. The sight of this paper is to have knowledge about mixed restoration techniques like, average filter, median filter, wiener filter, blind de-convolution, and wavelet transform etc. The basis of restoration is to undo the operation of degraded image. There are many grounds because of which degradation takes place like, poor weather conditions, camera misfocus, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 50–58 Read article
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Express-U: Real-time Indian Sign Language Recognition
Abstract: This study describes a system that recognizes Indian Sign Language (ISL) hand poses and gestures in real time using the Hand Tracking Algorithm and the LSTM Deep Learning model. This approach aims to close the communication gap between those who are deaf or hard of hearing and the rest of society. Existing solutions either have a low level of accuracy or do not operate in real time. On both measures, …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 17–22 Read article
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A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) transformed the electronics industry by enabling ubiquitous connectivity between billions of devices. This has created an unprecedented amount of data, challenging traditional cloud-based architectures with latency, bandwidth, and security issues. Edge computing came as an additive architecture by distributing computation and bringing intelligence to IoT edges to provide real-time responsiveness and reduce dependence on centralized infrastructure. This study offers a thorough analysis of current developments …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 1–9 Read article