Multi-Class on-Tree Peach Detection Using Improved YOLOv5s and Multi-Modal Images
Accurate peach detection is a prerequisite for automated agronomic management, e.g., peach mechanical harvesting. However, due to uneven illumination and ubiquitous occlusion, it is challenging to detect the peaches, especially when the peaches are ...
LUO Qing +6 more
doaj +1 more source
YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao +7 more
wiley +1 more source
YOLOv5 untuk Menghitung Sel Darah Merah dan Sel Darah Putih [PDF]
—Health practitioners use hemocytometer to manually counting the blood cells, and it is considered time-consuming, arduous, and expert-dependent. Automated methods are costly, require meticulous maintenance, can lead to misidentify abnormal cells.
Benarkah, Njoto +2 more
core +2 more sources
Research on grid based fire warning algorithm with YOLOv5s for palace buildings
In response to the early warning requirements of fire security technology in the Imperial Palace & large Ming and Qing ancient architectural complexes in China, a grid based fire warning algorithm is proposed by combining neural network YOLOv5s smoke ...
Zhiming Wang +4 more
doaj +1 more source
Autonomous planetary rovers operate in GPS‐denied, low‐texture, crater‐rich environments where traditional SLAM‐based navigation systems suffer from localization drift and unreliable obstacle handling. To address these challenges, this work proposes a Space‐ROS–based autonomous navigation framework integrating ROS2 with the NAV2 stack, RTAB‐Map visual ...
Imnul Haque Ruman Talukder +5 more
wiley +1 more source
An FPGA-Based Hybrid Overlapping Acceleration Architecture for Small-Target Remote Sensing Detection
Small-object detection in satellite remote sensing images plays a pivotal role in the field of remote sensing. Achieving high-performance real-time detection demands not only efficient algorithms but also low-power, high-performance hardware platforms ...
Nan Fang +4 more
doaj +1 more source
Design of Mobile App Recognition System for Apple Bark Disease Based on YOLOv5s and Android
【Objective】A practical mobile APP recognition system based on Android was designed for the requirement of real-time detection of various apple bark diseases in orchards.【Method】The images of ring rot, canker and dry rot were collected through network ...
Yibo ZHOU, Yutao MA, Yanru ZHAO
doaj +1 more source
YOLOv5-DCN: An Effective Improvement Based on YOLOv5 Detector
Urine sediment detection is of great significance for the diagnosis and monitoring of kidney diseases, urinary tract infections, stones, etc. This study aims to propose fast, high-precision and lightweight Urinary particles detection model based on YOLOv5, deformable convolution, and evaluate its performance in Urinary particles detection tasks.
Xiaoxia Qi +4 more
openaire +1 more source
Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud +6 more
wiley +1 more source
Hydroponic Chinese flowering cabbage detection and localization algorithm based on improved YOLOv5s.
To achieve automated harvesting of hydroponic Chinese flowering cabbage, the detection and localization of the cabbage are crucial. This study proposes a two stages detection and localization algorithm for hydroponic Chinese flowering cabbage, which ...
Zhongjian Xie +7 more
doaj +1 more source

