This paper discusses the computervision technology based on radar cloud detection method. Firstly, the basic principle of radar cloud detection technology and its application in the field of meteorology are introduce...
详细信息
This study focuses on the security aspects within microservice architecture, particularly addressing load balancing and role-based access control (RBAC). Exploring the intersection of load balancing techniques and RBA...
This paper presents an innovative approach to assist physically challenged individuals in navigating a computer interface by controlling the mouse cursor using head movement and eye movement. Real-time video frames ar...
详细信息
This paper investigates the optimization and deployment of YOLOv7 deep learning model on NVIDIA Jetson Nano, an AI-focused edge computing platform for object detection in various computervision applications. The work...
详细信息
Machine learning is a trending topic in the area of computervision, which makes the machine able to learn about it without being expressly programmed using various algorithms. When a model is designed to predict futu...
详细信息
This paper gives insights on identification and feature extraction of vehicle damage caused by numerous obstacles and other impending cars. In the past, automotive specialists mostly used physical examinations to find...
详细信息
In order to solve the problem of low welding efficiency and unstable welding quality of thin plate non-structural parts, a set of automatic welding machine is developed by using weld seam tracking technology based on ...
详细信息
As a computervision technology that combines pedestrian detection and person re-identification, person search focuses on its application in practical scenarios. However, at present, the academic community pays more a...
详细信息
This paper focuses on the application of image classification in forest fire detection using unmanned aerial vehicles (UAVs), discussing the development history of UAV image classification and the significance of mach...
详细信息
ISBN:
(纸本)9798350352634;9798350352627
This paper focuses on the application of image classification in forest fire detection using unmanned aerial vehicles (UAVs), discussing the development history of UAV image classification and the significance of machine vision in fire monitoring. Initially, the dataset used for fire detection and the data processing and enhancement techniques are introduced. Subsequently, the construction and architecture of the image classification model are detailed. The core of this study is to enhance the accuracy of model image recognition in complex forest environments by replacing optimizers, modifying the model architecture, and adding modules. Various models and optimizers are compared and analyzed, and the operations and significance of enhancement methods and attention mechanisms are explored. The aim is to improve training effectiveness through these strategies, thereby effectively supporting UAVs in forest fire detection.
Aiming at the problem of link data security, this project aims to improve the efficiency and security of link data access control, and studies the secure access control method of link data. On this basis, a decision t...
详细信息
暂无评论