Results 31 to 40 of about 17,190 (230)
Crowd counting using Yolov5 and KCF [PDF]
, 2023 Crowd detection has various applications nowadays. However, detecting humans in crowded circumstances is difficult because the features of different objects conflict, making cross-state detection impossible.
Maktoof, et. al., Mohammed Abdul Jaleel
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Detection of Motorcycle Headlights Using YOLOv5 and HSV [PDF]
, 2023 "Electronic Traffic Law Enforcement" (ETLE) denotes a mechanism that employs electronic technologies to implement traffic regulations. This commonly entails utilizing a range of electronic apparatuses like cameras, sensors, and automated setups to ...
Ananta, Whisnumurty Galih +4 more
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HDS-YOLOv5: An improved safety harness hook detection algorithm based on YOLOv5s
Mathematical 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
Gong-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
Sistem Deteksi dan Klasifikasi Truk Air Menggunakan YOLO v5 dan EfficientNet-B4 [PDF]
, 2023 Kegiatan pencatatan dalam usaha pengisian air yang dilakukan dengan menggunakan truk air mengalami masalah karena kesalahan manusia (human error) misalnya pencatatan yang terlewat dan efisiensi waktu yang diperlukan.
Kurniawan, Ardian +1 more
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Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios [PDF]
, 2022 In response to the existing object detection algorithms are applied to complex fire scenarios with poor detection accuracy, slow speed and difficult deployment., this paper proposes a lightweight fire detection algorithm of Light-YOLOv5 that achieves a ...
Li, Bo, Xu, Hao, Zhong, Fei
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Journal 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
Vehicle detection in surveillance videos based on YOLOv5 lightweight network [PDF]
Bulletin 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
Surface Defect Detection Method of Wooden Spoon Based on Improved YOLOv5 Algorithm
BioResources, 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
Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach. [PDF]
, 2023 Counting cells in a Neubauer chamber on microbiological culture plates is a laborious task that depends on technical experience. As a result, efforts have been made to advance computer vision-based approaches, increasing efficiency and reliability ...
de la Prieta, Fernando +4 more
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