Detection of Pear Inflorescence Based on Improved Ghost-YOLOv5s-BiFPN Algorithm
Mechanized and intelligent flower thinning is a high-speed flower thinning method nowadays. The classification and detection of flowers and flower buds are the basic requirements to ensure the normal operation of the flower thinning machine.
XIA Ye +7 more
doaj +1 more source
A lightweight ship target detection model based on improved YOLOv5s algorithm.
Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and ship supervision. Aiming at the problems of large parameters, large computation quantity, poor real-time performance, and high requirements for memory and ...
Yuanzhou Zheng +7 more
doaj +2 more sources
Coal mine external fire detection method based on edge intelligence
The detection of external fire in coal mines and the reliable identification of initial fire are of great significance for improving the level of coal mine fire detection.
ZHAO Duan +4 more
doaj +1 more source
Multiple structural defect detection for reinforced concrete buildings using YOLOv5s
Building inspection and maintenance are becoming increasingly essential means by which to consider the deterioration problems of old, reinforced concrete (RC) buildings.
Li, C, Pan, W, Su, RKL, Yuen, PC
core +2 more sources
Intelligent identification and positioning of steel belt anchor hole in coal mine roadway support
When the steel belt auxiliary bolt is used in the coal mine underground heading roadway, if the positioning of the steel belt anchor hole is not accurate, the drill bit is easy to cause equipment damage when hitting the steel belt or anchor net.
ZHANG Fujing +4 more
doaj +1 more source
Improved GBS-YOLOv5 algorithm based on YOLOv5 applied to UAV intelligent traffic
Abstract As the road traffic situation becomes complex, the task of traffic management takes on an increasingly heavy load. The air-to-ground traffic administration network of drones has become an important tool to promote the high quality of traffic police work in many places.
Haiying Liu +5 more
openaire +3 more sources
Underground personnel detection and tracking based on improved YOLOv5s and DeepSORT
The real-time monitoring and tracking system of mine moving targets is an essential part of the construction of smart mines. The appearance of downhole inspection robots can realize the real-time monitoring of operators, but the existence of uneven ...
Xiaoqiang SHAO +5 more
doaj +1 more source
HDS-YOLOv5: An improved safety harness hook detection algorithm based on YOLOv5s
<abstract> <p>Improperly using safety harness hooks is a major factor of safety hazards during power maintenance operation. The machine vision-based traditional detection methods have low accuracy and limited real-time effectiveness. In order to quickly discern the status of hooks and reduce safety incidents in the complicated operation ...
Mingju Chen +4 more
openaire +3 more sources
YOLOv5s-CAM: A Deep Learning Model for Automated Detection and Classification for Types of Intracranial Hematoma in CT Images [PDF]
Intracranial hematoma due to traumatic brain injury is a serious health concern with rates of morbidity and mortality that are increasing worldwide. Manual identification is slow, subject to observer variabilities, and the existing automated techniques ...
Acharya, U. Rajendra +11 more
core +2 more sources
Study on the Detection Method for Daylily Based on YOLOv5 under Complex Field Environments
Intelligent detection is vital for achieving the intelligent picking operation of daylily, but complex field environments pose challenges due to branch occlusion, overlapping plants, and uneven lighting.
Hongwen Yan +5 more
doaj +1 more source

