19 papers · ranked by Valyu relevance
Valentin Volokitin, E. P. Vasiliev, Evgeny Kozinov, Валентина Кустикова + 4 more
'Валентина Кустикова' 'Alexey Liniov' 'Yury Rodimkov' 'Alexander Sysoyev' 'I. B. Meyerov'] Abstract. The development of an open and free RISC-V architecture is of great interest for a wide range of areas, including high-performance computing and numerical simulation in mathematics, physics, chemistry and other problem…
Bin Duan, Tarek Mahmud, Meiru Che, Yan Yan + 3 more
Bin Duan 1 , Tarek Mahmud 2 , Meiru Che 3 , Yan Yan 4 , Naipeng Dong 1 , Dan Dongseong Kim 1 , Guowei Yang1 ∗ 1 School of Electrical Engineering and Computer Science, The University of Queensland, Australia 2 Department of Computer Science, Texas State University, USA 3 College of Information and Communications…
S. Meivel, Nidhi Sindhwani, Rohit Anand, Digvijay Pandey + 4 more
The drones can be used to detect a group of people who are unmasked and do not maintain social distance. In this paper, a deep learning-enabled drone is designed for mask detection and social distance monitoring. A drone is one of the unmanned systems that can be automated. This system mainly focuses on Industrial…
Umair Iqbal, Tim Davies, Pascal Perez, Pierfrancesco Bellini + 2 more
'Marco Fanfani' 'Stefano Bilotta'] Computer Vision (CV) has become increasingly important for Single-Board Computers (SBCs) due to their widespread deployment in addressing real-world problems. Specifically, in the context of smart cities, there is an emerging trend of developing end-to-end video analytics solutions…
A. A. Levin, D. D. Klimov, A. A. Nechunaev, L. S. Prokhorenko + 5 more
'D. S. Mishchenkov' 'A. G. Nosova' 'D. A. Astakhov' 'Y. V. Poduraev' 'D. N. Panchenkov'] This study aims to compare the tracking algorithms provided by the OpenCV library to use on ultrasound video. Despite the widespread application of this computer vision library, few works describe the attempts to use it to track…
Gabriel J. Selzer, Curtis T. Rueden, Mark C. Hiner, Edward L. Evans + 12 more
Decades of iteration on scientific imaging hardware and software has yielded an explosion in not only the size, complexity, and heterogeneity of image datasets but also in the tooling used to analyze this data. This wealth of image analysis tools, spanning different programming languages, frameworks, and data…
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali + 2 more
Challenges, and Future Trends Authors: ['Abolfazl Younesi' 'Mohsen Ansari' 'MohammadAmin Fazli' 'Alireza Ejlali' 'Muhammad Shafique' 'Jörg Henkel'] Abstract—In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image…
Musarrat Saberin Nipun, Rejwan Bin Sulaiman, Amer Kareem
Face detection and identification is the most difficult and often used task in Artificial Intelligence systems. The goal of this study is to present and compare the results of several face detection and recognition algorithms used in the system. This system begins with a training image of a human, then continues on to…
Angelo L. De Castro, Jin Wang, Jessica G. Bonney-King, Gota Morota + 2 more
Monitoring the movement patterns of dairy cattle can provide important insight into space utilization or space occupancy in a barn. Although several precision livestock technologies have been developed to record dairy cattle movements, there is a lack of open source tools to track and visualize cattle movement…
Ali Farhan, Ferry Saputra, Michael Edbert Suryanto, Fahad Humayun + 8 more
'Roi Martin B. Pajimna' 'Ross D. Vasquez' 'Marri Jmelou M. Roldan' 'Gilbert Audira' 'Hong-Thih Lai' 'Yu-Heng Lai' 'Chung-Der Hsiao' 'Jijun Tang'] Simple Summary Artificial intelligence (AI) has been established to contribute in number of research areas such as medical imaging, diagnostic tools, ultrasound, cardiac…
Fazal Wahab, Inam Ullah, Anwar Shah, Rehan Ali Khan + 2 more
'Muhammad Shahid Anwar'] Computer vision (CV) and human-computer interaction (HCI) are essential in many technological fields. Researchers in CV are particularly interested in real-time object detection techniques, which have a wide range of applications, including inspection systems. In this study, we design and…
Photis Patonis, Pasquale Daponte
In this paper, a procedure for calibrating the image sensors of mobile devices and evaluating their results was developed and implemented in a software application. Regarding the calibration, two methods were used, an OpenCV function and a photogrammetry method, which used the same camera model. In evaluating the…
Niah Holtz, Evan Lloyd, Chloe Hoff, Alex C. Keene + 1 more
Cichlid fishes have long been a popular model for ecology and evolutionary biology. Not only do they exhibit nearly unparalleled taxonomic diversity, but their community structures are both complex and extremely dense. Niche partitioning along dietary axes has been credited in maintaining cichlid biodiversity in a…
Aleena Ajaz, Ayesha Salar, Tauseef Jamal, Asif Khan
— Now-a-days, UAVs such as drones are greatly used for various purposes like that of capturing and target detection from ariel imagery etc. Easy access of these small ariel vehicles to public can cause serious security threats. For instance, critical places may be monitored by spies blended in public using drones.…
Artur Santos Nascimento, Welerson Augusto Lino de Jesus Melo, Daniel Oliveira Dantas, Beatriz Trinchão Andrade
'Daniel Oliveira Dantas' 'Beatriz Trinchão Andrade'] Abstract—Feature point (FP) detection is a fundamental step of many computer vision tasks. However, FP detectors are usually designed for low dynamic range (LDR) images. In scenes with extreme light conditions, LDR images present saturated pixels, which degrade FP…
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen + 3 more
In materials research, the task of characterizing hundreds of different materials traditionally requires equally many human hours spent measuring samples one by one. We demonstrate that with the integration of computer vision into this material research workflow, many of these tasks can be automated, significantly…
John M. Branning, Kealy A. Faughnan, Austin A. Tomson, Grant J. Bell + 15 more
The widespread availability and diversity of open-source microcontrollers paired with off-the-shelf electronics and 3D printed technology has led to the creation of a wide range of low-cost scientific instruments, including microscopes, spectrometers, sensors, data loggers, and other tools that can be used for…
David L. Haggerty, Caleb B. Darden, David M. Lovinger
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflows that rely on fragmented software pipelines, workstation-grade GPUs, or external middleware to enable real-time deployment. Here we present an integrated…
Sadeghi Roksana, Ressmeyer Ryan, L. Yates Jacob, Otero-Millan Jorge
Eye tracking is an essential research tool in many fields, yet existing solutions often face cost and flexibility limitations for customized applications. We present OpenIris, a user-friendly and adaptable open-source framework developed in C# for video-based eye-tracking. It is designed for diverse research…