Results 21 to 30 of about 54,995 (246)

DP-YOLO: Effective Improvement Based on YOLO Detector

open access: yesApplied Sciences, 2023
YOLOv5 remains one of the most widely used real-time detection models due to its commendable performance in accuracy and generalization. However, compared to more recent detectors, it falls short in label assignment and leaves significant room for optimization.
Chao Wang   +5 more
openaire   +2 more sources

CNN-ENABLED DETECTION SYSTEM FOR AGRICULTURAL ANOMALY ANTICIPATION [PDF]

open access: yesProceedings on Engineering Sciences
Artificial intelligence is a rapidly developing field today. One of its different applications is object acknowledgment, utilizing PC vision. The advancements in Deep Learning (DL) techniques have made it possible to quickly identify, localize, and ...
Sandeep Kumar   +4 more
doaj   +1 more source

A Deep Learning-Based Method to Detect Components from Scanned Structural Drawings for Reconstructing 3D Models

open access: yesApplied Sciences, 2020
Among various building information model (BIM) reconstruction methods for existing building, image-based method can identify building components from scanned as-built drawings and has won great attention due to its lower cost, less professional operators
Yunfan Zhao, Xueyuan Deng, Huahui Lai
doaj   +1 more source

Object Detection and X-Ray Security Imaging: A Survey

open access: yesIEEE Access, 2023
Security is paramount in public places such as subways, airports, and train stations, where security screeners use X-ray imaging technology to check passengers’ luggage for potential threats.
Jiajie Wu, Xianghua Xu, Junyan Yang
doaj   +1 more source

Visual Locating of Reactor in an Industrial Environment Using the Composite Method

open access: yesSensors, 2020
To achieve an automatic unloading of a reactor during the sherardizing process, it is necessary to calculate the pose and position of the reactors in an industrial environment with various amounts of luminance and floating dust.
Chenguang Cao   +3 more
doaj   +1 more source

Real-Time Seamless Single Shot 6D Object Pose Prediction [PDF]

open access: yes, 2018
We propose a single-shot approach for simultaneously detecting an object in an RGB image and predicting its 6D pose without requiring multiple stages or having to examine multiple hypotheses. Unlike a recently proposed single-shot technique for this task
Fua, Pascal   +2 more
core   +2 more sources

Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik   +8 more
wiley   +1 more source

Evaluating the Metrics of Insecticide Resistance and Efficacy: Comparison of the CDC Bottle Bioassay with Formulated and Technical-Grade Insecticide and a Sentinel Cage Field Trial

open access: yesTropical Medicine and Infectious Disease
Insecticide resistance monitoring is essential for effective mosquito control. This study compared CDC Bottle Bioassays (BBAs) using technical and formulated insecticides (deltamethrin/Deltagard and malathion/Fyfanon EW) against the Culex pipiens complex
Deborah A. Dritz   +2 more
doaj   +1 more source

YOLOV7-BASED MOVING OBJECT DETECTION IN DENSE FOG CONDITIONS [PDF]

open access: yesJournal of Mechanics of Continua and Mathematical Sciences
Detecting moving objects in dense foggy conditions is a challenging problem in computer vision, with critical applications in smart transportation systems, surveillance, and autonomous driving.
Sharmistha Puhan, Sambit Kumar Mishra
doaj   +1 more source

A Cow Crossing Detection Alert System

open access: yesInternational Journal of Technology, 2022
Artificial intelligence is rapidly growing in recent years and has derived several branches of studies such as object detection and sound recognition.
Yuan Qin Ong   +2 more
doaj   +1 more source

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