Results 1 to 10 of about 8,592 (165)
An Efficient Forest Fire Target Detection Model Based on Improved YOLOv5
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
exaly +3 more sources
Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios
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
exaly +4 more sources
YOLOv5-OCDS: An Improved Garbage Detection Model Based on YOLOv5
As the global population grows and urbanization accelerates, the garbage that is generated continues to increase. This waste causes serious pollution to the ecological environment, affecting the stability of the global environmental balance. Garbage detection technology can quickly and accurately identify, classify, and locate many kinds of garbage to ...
Jingyang Wang
exaly +2 more sources
YOLOv5-ASFF: A Multistage Strawberry Detection Algorithm Based on Improved YOLOv5
The smart farm is currently a hot topic in the agricultural industry. Due to the complex field environment, the intelligent monitoring model applicable to this environment requires high hardware performance, and there are difficulties in realizing real-time detection of ripe strawberries on a small automatic picking robot, etc. This research proposes a
Jianxin Xue, Yaodi Li, Decong Zheng
exaly +3 more sources
YOLOv5-LiNet: A lightweight network for fruits instance segmentation
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
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
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
YOLOv5s-SA: Light-Weighted and Improved YOLOv5s for Sperm Detection
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
openaire +3 more sources
Research on Door Opening Operation of Mobile Robotic Arm Based on Reinforcement Learning
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
IVP-YOLOv5: an intelligent vehicle-pedestrian detection method based on YOLOv5s
Computer vision is now vital in intelligent vehicle environment perception systems. However, real-time small-scale pedestrian detection in intelligent vehicle environment perception systems is still needs to be improved. This paper proposes an intelligent vehicle-pedestrian detection method based on YOLOv5s, named IVP-YOLOv5, to use in vehicle ...
Yang Sun +5 more
openaire +3 more sources

