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
exaly +3 more sources
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.
Shihao Zhang +13 more
exaly +3 more sources
An Artificial Intelligence-Based System for Identifying Ureteral Stricture Regions [PDF]
International Neurourology JournalPurpose This paper proposes a technical system designed to accurately identify the stenotic site in patients with ureteral stricture and guide the surgeon. The objective of this technical solution is to improve surgical efficiency.
Jong Mok Park, Khae-Hawn Kim
doaj +2 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
Comparison of Faster R-CNN and YOLOv5 for Overlapping Objects Recognition [PDF]
, 2023 يعد تصنيف الجسم المتداخل أحد التحديات الرئيسية التي يواجهها الباحثون الذين يعملون في اكتشاف الأشياء والتعرف عليها. معظم الخوارزميات المتاحة التي تم تطويرها قادرة فقط على تصنيف أو التعرف على الأشياء التي تكون إما منفصلة بشكل فردي عن بعضها البعض أوجسم ...
Ali, Rozniza +2 more
core +2 more sources
Design and implementation monitoring robotic system based on you only look once model using deep learning technique [PDF]
, 2023 The need for robotics systems has become an urgent necessity in various fields, especially in video surveillance and live broadcasting systems. This work is aimed to design and implement a robotic system which is based mainly on raspberry pi 4 model B to
Al-Tameemi, Maad Issa +2 more
core +3 more sources
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
doaj +1 more source
Comparative Study of Activation Functions and Their Impact on the YOLOv5 Object Detection Model [PDF]
, 2022 Object detection is an important aspect of computer vision research, involving determining the location and class of objects within a scene. For an object detection system to run in real-time, it is vital to minimise the computational costs while ...
Doherty, John +4 more
core +2 more sources
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
doaj +1 more source