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70 results for “object detection”
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Research ArticleOpen accessIn the abstractDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractDefect Detection on 3D Print Products and in Concrete Structures Using Image Processing and Convolution Neural NetworkSelorm Garfo, M.A. Muktadir, Sun YiThis paper explores the automated detection of surface defects on 3-D printed products and concrete structures. They are the main factors to evaluate their quality in addition to dimension and roughness. Traditional detection by human inspectors is far from satisfactory. Manual inspection is time-consuming, error-prone and often leads to loss of resources. For this purpose, image processing and deep learning-based … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 26 May 2020 · 12,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptic Disc Segmentation in Fundus Images with Deep Learning Object DetectorManal AlGhamdiThe Optic Disc (OD) is an important anatomical landmark in the fundus image to diagnose a myriad of diseases, such as glaucoma and Diabetic Retinopathy (DR) and to locate structures such as the macula and the main vascular arcade. However, locating and segmenting the OD are not easy tasks. Previous methods have employed a deep Convolutional Neural Network (CNN) without … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 7,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadar Cross Section Modelling and Analysis of Static and Dynamic Targets using MATLABPunam Pande, Sreemathy R, Mousami TurukRadar Cross Section (RCS) is an important characteristic of the electromagnetic system for target detection. This study presents detailed modelling of Radar Cross Section (RCS) of static simple objects like sphere, cylinder, triangular plate, circular flat plate, truncated cone and complex objects using MATLAB Radar toolbox. The RCS modelling of simple objects is also done with MATLAB POFACET GUI 4.3 … …Journal of Aircraft and Spacecraft Technology, Vol. 6, Issue 1 · 21 Mar 2022 · 11,024 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn IoT based House Intruder Detection and Alert System using Histogram of Oriented GradientsNico Surantha, Wingky R. WicaksonoThis research aims to design and implement a home security system with human detection capability. Traditional home security systems, i.e., Closed-Circuit Television (CCTV) can only capture and record videos without the ability of giving warning feedback if there is any suspicious object. Therefore, an additional object detection and warning method is required. The proposed design is implemented using Raspberry Pi … …Journal of Computer Science, Vol. 15, Issue 8 · 8 Aug 2019 · 9,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Face Detection, Recognition and Gender Estimation Applied to Person IdentificationMd Hannan, Md Rafiqul Islam, Md Ashraful Haque et al.Face detection, recognition and gender estimation are one of the most significant research areas in computer vision, not only because of the challenging nature of faces as an object but also due to the countless applications that require the application of face detection, tracking and recognition. Although many significant types of research on face detection, recognition and gender estimation problems … …Journal of Computer Science, Vol. 15, Issue 3 · 27 Mar 2019 · 9,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Remote Sensing Techniques in Detecting and Predicting Forest Vegetation Change Using MODIS Satellite Data, Golestan, IranAkram Karimi, Sara Abdollahi, Hamid Reza Kabiri Balajadeh et al.It is so important to be aware of quantitative and qualitative characteristics of changes for the environment, land use planning and sustainable development. Detecting the changes in the condition of an issue is done by time difference observations. Change detection refers to the process of detecting time changes of an object through different time observations. The detection of changes by … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 8,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmbedded Architecture for Object Tracking using Kalman FilterAhmad Abdul Qadir Al RababahIntelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interest, which represents … …Journal of Computer Science, Vol. 12, Issue 5 · 18 May 2016 · 7,419 accessesView PDFCite
Literature ReviewOpen accessIn the abstractObject Tracking in Wireless Sensor Networks: Challenges and SolutionsShereen Ismail, Eman Alkhader, Said ElnaffarWireless Sensor Networks (WSNs) are small, inexpensive and battery-operated sensor nodes that are deployed over a geographical area. WSNs are used in many applications such border patrolling, military intrusion detection, wildlife animal monitoring, surveillance of natural disasters and healthcare systems. Mobile object tracking is a vital task in all these applications. The goal of this work is to highlight the … …Journal of Computer Science, Vol. 12, Issue 4 · 1 May 2016 · 7,777 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmbedded Software Platform Used for Detection and Mitigation of a MAC Anomaly in IEEE 802.11n NetworksArgemiro Bevilacqua, Vitor Chaves de Oliveira, Gunnar Bedicks Jr. et al.IEEE 802.11 standard is largely used anywhere as a cheap way to access internet, but the majority of devices used does not provide a standard way to manage them. Mobile stations competing for access point may causes a general wireless network failure, known as the ''MAC Anomaly''. It is presented here an access point with modified firmware, that monitors wireless … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 21 Nov 2015 · 6,509 accessesView PDFCite