Results 91 to 100 of about 5,295 (214)

Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh

, 2022
The task of locating and classifying different types of vehicles has become a vital element in numerous applications of automation and intelligent systems ranging from traffic surveillance to vehicle identification and many more.
Ahmed, Sabbir, Alamgir, Refaat Mohammad, Kabir, Md. Hasanul, Mushabbir, Mueeze Al, Rahman, Md. Mushfiqur, Raiyan, Mohammed Ashfaq, Rani, Nusrat Jahan, Shuvro, Ali Abir   +7 more
core  

DEVELOPMENT OF A MODULAR AGRICULTURAL ROBOTIC SPRAYER [PDF]

, 2023
Precision Agriculture (PA) increases farm productivity, reduces pollution, and minimizes input costs. However, the wide adoption of existing PA technologies for complex field operations, such as spraying, is slow due to high acquisition costs, low ...
Sanchez, Paolo Rommel P.
core   +1 more source

DDVC-YOLOv5: An Improved YOLOv5 Model for Road Defect Detection

IEEE Access
Road defect detection is crucial for enhancing traffic safety, optimizing urban management efficiency, and promoting sustainable urban development. Traditional manual detection methods are inefficient and costly, and most deep learning-based road defect detection models lack superior feature extraction capabilities in complex environments.
Shihao Zhong, Chunlin Chen, Wensheng Luo, Siyuan Chen   +3 more
openaire   +2 more sources

A Highway Litter Detection Method Based on Multi‐scale Feature Fusion and Dynamic Feature Enhancement

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
To address missed detections and false positives in highway litter detection caused by small target sizes and feature degradation, this study proposes a novel framework integrating multi‐scale feature fusion and dynamic feature enhancement mechanisms, which includes a contextual anchor attention module, an improved spatial pyramid pooling module, a ...
Changlu Guo, Yecai Guo, Songbin Li
wiley   +1 more source

YOLOv5s pruning method for edge computing of coal mine safety monitoring

Gong-kuang zidonghua
At present, the combination of edge computing and machine vision has a good application prospect for coal mine safety monitoring. But the storage space and computing resources at the edge are limited, and high-precision complex visual models are ...
CHEN Zhiwen, CHEN Ailiangfei, TANG Xiaodan, KE Haobin, JIANG Zhaohui, XIAO Fei   +5 more
doaj   +1 more source

Machine‐Vision‐Based Paddy Pest Recognition Using Deep Learning and Classical Machine Learning Methods

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
Paddy crops are often threatened by pests, impacting yields and farmers’ livelihoods. In this study, we used AI‐powered deep learning and machine learning models to identify different paddy pests from images automatically. Our customised CNN model achieved 99.46% accuracy, offering a fast, reliable and scalable solution for protecting crops and ...
Mohammad Monirul Islam, Morium Akter, Mohammad Shorif Uddin, Shihab Mahmud Anik, Md. Ataur Rahman   +4 more
wiley   +1 more source

Edge Computing-Based Vehicle Detection in Intelligent Transportation Systems [PDF]

Vehicle detection in intelligent transportation systems usually adopts cloud computing mode. The increasing amount of traffic surveillance video has brought challenges to the storage, communication, and processing of intelligent transportation systems ...
Guan, Shaopeng, Pan, Hao, Xue, Yuewei, Zhao, Xiaoyan   +3 more
core   +1 more source

Design of Visual Detection Algorithm for Loose Screw Faults in Internal Structure of Energy Storage Lithium‐Ion Battery Packs

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
In recent years, with the rapid development of renewable energy in China, the installed capacity of new energy storage systems—particularly lithium‐ion batteries—has grown significantly. However, several major safety incidents at energy storage stations worldwide have raised serious concerns about the reliability and safety of these systems ...
Li Jin, Ertao Lei, Junkun Zhang, Kai Ma, Quanhui Li, Xiaoxue Yan, Qifu Lu, Wangqiang Niu   +7 more
wiley   +1 more source

FES-YOLOv5s: A Lightweight Model for Agaricus Bisporus Detection

IEEE Access
Agaricus bisporus grows in complex environments and suffers from adhesion and occlusion problems. In this study, we propose a lightweight recognition model for Agaricus bisporus— FES-YOLOv5s—based on YOLOv5s.
Hao Ma, Haigang Ma, Jiangtao Ji, Hongwei Cui   +3 more
doaj   +1 more source

Surface defect detection algorithm of high temperature casting slab based on improved YOLOv5s [PDF]

In order to improve the accuracy of surface defect detection of high temperature casting slab, an improved YOLOv5s surface defect detection algorithm is proposed.
Liang, Y., Wu, J.
core   +1 more source