lockhart, kaelan sandino, juan amarasingam, narmilan hann, richard bollard, barbara gonzalez, felipe
The unique challenges of polar ecosystems, coupled with the necessity for high-precision data, make Unmanned Aerial Vehicles (UAVs) an ideal tool for vegetation monitoring and conservation studies in Antarctica. This review draws on existing studies on Antarctic UAV vegetation mapping, focusing on their methodologies, including surveyed locations, ...
zhang, tianyi wang, yukang zhou, xiaoping liu, deli jingyi, ji feng, junfu
Human–computer interaction (HCI) with three-dimensional (3D) Building Information Modelling/Model (BIM) is the crucial ingredient to enhancing the user experience and fostering the value of BIM. Current BIMs mostly use keyboard, mouse, or touchscreen as media for HCI. Using these hardware devices for HCI with BIM may lead to space constraints and a...
haider, syed ali olivia, ho a. borna, sahar gomez-cabello, cesar a. pressman, sophia m. cole, dave sehgal, ajai leibovich, bradley c. forte, antonio jorge
Accurate identification of surgical instruments is crucial for efficient workflows and patient safety within the operating room, particularly in preventing complications such as retained surgical instruments. Artificial Intelligence (AI) models have shown the potential to automate this process. This study evaluates the accuracy of publicly availabl...
oviedo, anthony alvarez mamani villanueva, jhojan felipe echaiz espinoza, german alberto mauricio villanueva, juan moises salazar, andrés ortiz llanos villarreal, elmer rolando
This research explores the design of a system for monitoring driver drowsiness and supervising seat belt usage in interprovincial buses. In Peru, road accidents involving long-distance bus transportation amounted to 5449 in 2022, and the human factor plays a significant role. It is essential to understand how the use of non-invasive sensors for mon...
piotrowski, zbigniew bistroń, marta jekateryńczuk, gabriel kaczmarek, paweł pietrow, dymitr
This paper presents the design of a system to support the identification of victims of disasters and terrorist attacks. The system, called ID Victim (IDV), is a web application using a mobile app and data server. The DVI (Disaster Victim Identification) procedure, an international standard developed by Interpol, is used. The purpose of the IDV syst...
wang, yaoli deng, yaojun zheng, yuanjin chattopadhyay, pratik wang, lipo
Transformers were initially introduced for natural language processing, leveraging the self-attention mechanism. They require minimal inductive biases in their design and can function effectively as set-based architectures. Additionally, transformers excel at capturing long-range dependencies and enabling parallel processing, which allows them to o...
owen, valerius surantha, nico
Drowsy driving contributes to over 6000 fatal incidents annually in the US, underscoring the need for effective, non-intrusive drowsiness detection. This study seeks to address detection challenges, particularly in non-standard head positions. Our innovative approach leverages computer vision by combining facial feature detection using Dlib, head p...
indris, christopher ibrahim, fady ibrahem, hatem bramesfeld, götz huo, jie ahmad, hafiz mughees hayat, syed khizer wang, guanghui
The safety and efficiency of assembly lines are critical to manufacturing, but human supervisors cannot oversee all activities simultaneously. This study addresses this challenge by performing a comparative study to construct an initial real-time, semi-supervised temporal action recognition setup for monitoring worker actions on assembly lines. Var...
clark, austin jouaneh, musa k.
Automating the extraction of mechanical fasteners from end-of-life (EOL) electronic waste is challenging due to unpredictable conditions and unknown fastener locations relative to robotic coordinates. This study develops a system for extracting cross-recessed screws using a Deep Convolutional Neural Network (DCNN) for screw detection, integrated wi...
liu, qingtang jiang, xinyu jiang, ruyi
Behavioral computing based on visual cues has become increasingly important, as it can capture and annotate teachers’ and students’ classroom states on a large scale and in real time. However, there is a lack of consensus on the research status and future trends of computer vision-based classroom behavior recognition. The present study conducted a ...
