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 ...
Fuquan Zhang, Long 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, Xiujuan Deng, Xiaobo Cai
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
doaj +2 more sources
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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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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Research on mine vehicle tracking and detection technology based on YOLOv5
Systems Science & Control Engineering, 2022 Vehicle tracking detection, recognition and counting is an important part of vehicle analysis. Designing such a model with excellent performance is difficult. The traditional target detection algorithm based on artificial features has poor generalization
Kaijie Zhang +7 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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Automatic Number Plate Recognition System for Indian Number Plates using Machine Learning Techniques [PDF]
ITM Web of Conferences, 2022 India being a country where the population is above 1.3 billion where each person has at least one car of his/her use. Considering this, the number of cars driven on the roads of India must be greater than the population of the people in the country ...
Hajare Gayatri +3 more
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Real-Time YOLO Based Ship Detection Using Enriched Dataset [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2023 We propose a real-time Yolov5 based deep convolutional neural network for detecting ships in the video. We begin with two famous publicly available SeaShip datasets each having around 9,000 images.
A. Ataee, S. J. Kazemitabar
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