Results 21 to 30 of about 7,483 (192)

Analysis of player tracking data extracted from football match feed

open access: yesRevista Română de Informatică și Automatică, 2023
Data analytics and AI have become extremely relevant in today’s football landscape. Data is benefiting clubs in gaining a competitive advantage on and off the field by empowering them to harvest information for improving player performance, decreasing ...
Swetha SASEENDRAN   +3 more
doaj   +1 more source

DS-YOLOv5: A real-time detection and recognition model for helmet wearing

open access: yes工程科学学报, 2023
Automatic detection and recognition of safety helmet wearing based on video analysis is important to ensure production safety. It is inefficient to supervise whether workers wear safety helmets by manual means.
Peirui BAI   +6 more
doaj   +1 more source

HDS-YOLOv5: An improved safety harness hook detection algorithm based on YOLOv5s

open access: yesMathematical Biosciences and Engineering, 2023
<abstract> <p>Improperly using safety harness hooks is a major factor of safety hazards during power maintenance operation. The machine vision-based traditional detection methods have low accuracy and limited real-time effectiveness. In order to quickly discern the status of hooks and reduce safety incidents in the complicated operation ...
Mingju Chen   +4 more
openaire   +3 more sources

Coal gangue detection based on CBA-YOLO model

open access: yesGong-kuang zidonghua, 2022
There are some problems in coal gangue detection, such as small differences of characteristics between samples and dense targets. This leads to low precision and poor real-time performance of the existing coal gangue detection methods.
GUI Fangjun, LI Yao
doaj   +1 more source

Vehicle detection in surveillance videos based on YOLOv5 lightweight network [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2022
The development of surveillance video vehicle detection technology in modern intelligent transportation systems is closely related to the operation and safety of highways and urban road systems.
Yurui Wang, Guoping Yang, Jingbo Guo
doaj   +1 more source

Automatic Real-Time Detection of Infant Drowning Using YOLOv5 and Faster R-CNN Models Based on Video Surveillance

open access: yesJournal of Social Computing, 2023
Infant drowning has occurred frequently in swimming pools recent years, which motivates the research on automatic real-time detection of the accident. Unlike youths or adults, swimming infants are small in terms of size and motion range, and unable to ...
Qianen He   +3 more
doaj   +1 more source

Surface Defect Detection Method of Wooden Spoon Based on Improved YOLOv5 Algorithm

open access: yesBioResources, 2023
The available surface defect detection methods for disposable wooden spoons still involve screening with the naked eye. This detection method is not only inefficient but also accompanied by problems such as false detection and missed detection. Therefore,
Siqing Tian   +4 more
doaj  

Procrastination Preventor using YOLO [PDF]

open access: yesITM Web of Conferences, 2023
According to research, procrastination is a frequent and damaging type of self-regulation failure. With so many deadlines and pressure to complete their work, students struggle with academic procrastination.
Jaybhaye Sangita   +5 more
doaj   +1 more source

HIC-YOLOv5: Improved YOLOv5 For Small Object Detection

open access: yes2024 IEEE International Conference on Robotics and Automation (ICRA)
Small object detection has been a challenging problem in the field of object detection. There has been some works that proposes improvements for this task, such as adding several attention blocks or changing the whole structure of feature fusion networks.
Tang, Shiyi, Zhang, Shu, Fang, Yini
openaire   +2 more sources

KPE-YOLOv5: An Improved Small Target Detection Algorithm Based on YOLOv5

open access: yesElectronics, 2023
At present, the existing methods have many limitations in small target detection, such as low accuracy, a high rate of false detection, and missed detection. This paper proposes the KPE-YOLOv5 algorithm aiming to improve the ability of small target detection. The algorithm has three improvements based on the YOLOv5 algorithm.
Yang, Rujin   +4 more
openaire   +1 more source

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