Results 1 to 10 of about 8,077 (167)
An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5
Fire, 2023 To tackle the problem of missed detections in long-range detection scenarios caused by the small size of forest fire targets, initiatives have been undertaken to enhance the feature extraction and detection precision of models designed for forest fire ...
Long Zhang, Fuquan Zhang
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Edge Device Detection of Tea Leaves with One Bud and Two Leaves Based on ShuffleNetv2-YOLOv5-Lite-E
Agronomy, 2023 In order to solve the problem of an accurate recognition of tea picking through tea picking robots, an edge device detection method is proposed in this paper based on ShuffleNetv2-YOLOv5-Lite-E for tea with one bud and two leaves.
Wenxia Yuan, Xiaobo Cai, Xiujuan Deng
exaly +3 more sources
YOLOv5-LiNet: A lightweight network for fruits instance segmentation
PLoS ONE, 2023 To meet the goals of computer vision-based understanding of images adopted in agriculture for improved fruit production, it is expected of a recognition model to be robust against complex and changeable environment, fast, accurate and lightweight for a ...
Olarewaju Mubashiru Lawal
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Mine roadway personnel counting technology based on deep learning
Meikuang Anquan, 2023 When a safety accident occurs in a coal mine, it is necessary to clearly understand the personnel situation in each area and reasonably arrange the rescue plan.
CHEN Taiguang +3 more
doaj +1 more source
Early detection of sick chicken using artificial intelligence
Teknika, 2022 According to survey of BPS, in 2020 meat consumption especially poultry has reached 4 million tons per year or equivalent to 35% of total meal consumption.
Widyawati Widyawati, Waliadi Gunawan
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YOLOv5s-SA: Light-Weighted and Improved YOLOv5s for Sperm Detection
Diagnostics, 2023 Sperm detection performance is particularly critical for sperm motility tracking. However, there are a large number of non-sperm objects, sperm occlusion and poorly detailed texture features in semen images, which directly affect the accuracy of sperm detection.
Ronghua Zhu +6 more
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Research on Door Opening Operation of Mobile Robotic Arm Based on Reinforcement Learning
Applied Sciences, 2022 The traditional robotic arm control method has strong dependence on the application scenario. To improve the reliability of the mobile robotic arm control when the scene is disturbed, this paper proposes a control method based on an improved proximal ...
Yang Wang, Liming Wang, Yonghui Zhao
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GRP-YOLOv5: An Improved Bearing Defect Detection Algorithm Based on YOLOv5
Sensors, 2023 Currently, most chemical transmission equipment relies on bearings to support rotating shafts and to transmit power. However, bearing defects can lead to a series of failures in the equipment, resulting in reduced production efficiency. To prevent such occurrences, this paper proposes an improved bearing defect detection algorithm based on YOLOv5 ...
Yue Zhao +5 more
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DETECTION AND RECOGNITION OF ROAD SIGNS USING YOLOv5 [PDF]
Proceedings on Engineering Sciences, 2023 In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver assistance ...
Haitam Ettazi +2 more
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Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios
Applied Sciences, 2022 Fire-detection technology is of great importance for successful fire-prevention measures. Image-based fire detection is one effective method. At present, object-detection algorithms are deficient in performing detection speed and accuracy tasks when they are applied in complex fire scenarios. In this study, a lightweight fire-detection algorithm, Light-
Hao Xu, Bo Li, Fei Zhong
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