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
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
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
Deteksi Objek Menggunakan Metode YOLO dan Implementasinya pada Robot Bawah Air [PDF]
Penelitian ini membahas penggunaan berbagai arsitektur model deep learning dalam mendeteksi objek bawah air seperti gerbang, tiang, bola, dan baskom untuk meningkatkan performa robot dalam eksplorasi bawah air dalam konteks kompetisi SAUVC (Singapore AUV
Dikairono, Rudy +2 more
core +2 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
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
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
Research on Winter Jujube Object Detection Based on Optimized Yolov5s
Winter jujube is a popular fresh fruit in China for its high vitamin C nutritional value and delicious taste. In terms of winter jujube object detection, in machine learning research, small size jujube fruits could not be detected with a high accuracy ...
Junzhe Feng +5 more
doaj +1 more source
Edge Deep Learning and Computer Vision-Based Physical Distance and Face Mask Detection System Using Jetson Xavior NX [PDF]
This paper proposes a fully automated vision-based system for real-time COVID-19 personal protective equipment detection and monitoring. Through this paper, we aim to enhance the capability of on-edge real-time face mask detection as well as improve ...
Abadleh, Ahmad +5 more
core +1 more source
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

