Results 101 to 110 of about 7,696 (200)
Optimizing YOLOv8 for Parking Space Detection: Comparative Analysis of Custom YOLOv8 Architecture
CoRRParking space occupancy detection is a critical component in the development of intelligent parking management systems. Traditional object detection approaches, such as YOLOv8, provide fast and accurate vehicle detection across parking lots but can struggle with borderline cases, such as partially visible vehicles, small vehicles (e.g., motorcycles ...
Apar Pokhrel, Gia Dao
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Edge-Accelerated Real-Time Egg Recognition Using YOLOv8
Proceedings of the International Conference on Applied Innovations in ITMechanised egg collection systems require vision models that are both accurate and light enough to run on embedded hardware. We built and evaluated an end to end pipeline that couples YOLOv8 object detection variants with Google’s Coral Edge TPU for real
Wesam Basil Abdulhameed +1 more
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Informática y SistemasEsta investigación trata sobre la necesidad de optimizar los sistemas de videovigilancia a través del uso de inteligencia artificial para detectar proactivamente amenazas.
Lauro Alfonso Erreyes Cuenca +3 more
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YOLOv8-FDD: A Real-Time Vehicle Detection Method Based on Improved YOLOv8
IEEE AccessAiming at the serious problems of missed detection, false detection and difficult deployment of existing target detection algorithms when applied to traffic scenes, a vehicle detection model YOLOv8-FDD with lower parameter count and higher accuracy is proposed in this paper.
Xiaojia Liu +3 more
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Basket pose estimation method based on monocular vision and improved YOLOv8-pose model
Huanan Nongye Daxue xuebaoObjectiveCurrently, the handling operation of vegetable baskets after harvesting in protected greenhouses is still dominated by manual labor, which has problems such as low efficiency and high labor intensity, seriously restricting the large-scale and ...
Lin CHEN +5 more
doaj +1 more source
ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model Based on YOLOv8
IEEE AccessThe photovoltaic technology industry is a key development field in response to global renewable energy demands. The efficiency of fault detection in solar cells, a core component, is vital. Traditional manual fault detection is inefficient and costly, and existing deep learning models lack accuracy and speed.
Lingyun Zhang +4 more
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RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8
SensorsSurface defect detection in chips is crucial for ensuring product quality and reliability. This paper addresses the challenge of low identification accuracy in chip surface defect detection, which arises from the similarity of defect characteristics, small sizes, and significant scale differences.
Wenjie Tang, Yangjun Deng, Xu Luo
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Research on deep learning-based affiliated obstacle identification of overhead transmission line
Diance yu yibiaoThe overhead line patrol robot plays an important role in improving the line maintenance efficiency and ensuring the safe and stable operation of power system.
CHI Xingjiang, PAN Jinhu, GENG Junwei
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YOLOv8-Coal: a coal-rock image recognition method based on improved YOLOv8
PeerJ Computer ScienceTo address issues such as misdetection and omission due to low light, image defocus, and worker occlusion in coal-rock image recognition, a new method called YOLOv8-Coal, based on YOLOv8, is introduced to enhance recognition accuracy and processing speed.
Wenyu Wang, Yanqin Zhao, Zhi Xue
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Automated FDG uptake/PET-CT fused scan diagnosis of various lymph node tumors using object detection AI techniques. [PDF]
Sci RepAbdeltawab M +5 more
europepmc +1 more source