Health Monitoring and Assessment of the Cultural Monument Through Unmanned Aerial Vehicle (UAV) Image Processing

2021 ◽  
pp. 145-160
Author(s):  
Ekta Baranwal ◽  
S. Raghvendra ◽  
Poonam Seth Tiwari ◽  
Hina Pande
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicle ◽  
Health Monitoring ◽  
Aerial Vehicle ◽  
Uav Image

An Open-Source UAV Image Processing Web Service for Crop Health Monitoring

2019 ◽  
Author(s):  
Bipul Neupane ◽  
Teerayut Horanont ◽  
Hung Nguyen Duy ◽  
Sudshewin Suebvong ◽  
Tanadol Mahattanawutakorn
Keyword(s):  
Image Processing ◽  
Web Service ◽  
Open Source ◽  
Health Monitoring ◽  
Uav Image ◽  
Crop Health

scholarly journals Comparisons of feature extraction algorithm based on unmanned aerial vehicle image

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 472-478 ◽  
Author(s):  
Wenfei Xi ◽  
Zhengtao Shi ◽  
Dongsheng Li
Keyword(s):  
Feature Extraction ◽  
Unmanned Aerial Vehicle ◽  
Practical Case ◽  
Extraction Technology ◽  
Diverse Environment ◽  
Extraction Algorithm ◽  
Aerial Vehicle ◽  
Uav Image ◽  
Forstner Operator ◽  
Speed And Accuracy

AbstractFeature point extraction technology has become a research hotspot in the photogrammetry and computer vision. The commonly used point feature extraction operators are SIFT operator, Forstner operator, Harris operator and Moravec operator, etc. With the high spatial resolution characteristics, UAV image is different from the traditional aviation image. Based on these characteristics of the unmanned aerial vehicle (UAV), this paper uses several operators referred above to extract feature points from the building images, grassland images, shrubbery images, and vegetable greenhouses images. Through the practical case analysis, the performance, advantages, disadvantages and adaptability of each algorithm are compared and analyzed by considering their speed and accuracy. Finally, the suggestions of how to adapt different algorithms in diverse environment are proposed.

scholarly journals Design and construction of a prototype of an unmanned aerial vehicle equipped with artificial vision for the search of people

2017 ◽  
Vol 15 (41) ◽  
pp. 9-26
Author(s):  
Andrés Espinal Rojas ◽  
Andrés Arango Espinal ◽  
Luis Ramos ◽  
Jorge Humberto Erazo Aux
Keyword(s):  
Image Processing ◽  
Unmanned Aerial Vehicle ◽  
Low Cost ◽  
Wireless Transmission ◽  
Image Processing Algorithm ◽  
Image Capture ◽  
Aerial View ◽  
Aerial Vehicle ◽  
Recognition Of Objects ◽  
Technological Challenge

This paper describes the development and implementation of a six-pointed Unmanned Aerial Vehicle [UAV] prototype, designed for finding lost people in hard to access areas, using Arduino MultiWii platform. A platform capable of performing a stable flight to identify people through an on-board camera and an image processing algorithm was developed. Although the use of UAV represents a low cost and quick response –in terms of displacement– solution, capable to prevent or reduce the number of deaths of lost people in away places, also represents a technological challenge, since the recognition of objects from an aerial view is difficult, due to the distance of the UAV to the objective, the UAV’s position and its constant movement. The solution proposed implements an aerial device that performs the image capture, wireless transmission and image processing while it is in a controlled and stable flight.

scholarly journals Security Enhanced Blockchain based Unmanned Aerial Vehicle Health Monitoring System

2021 ◽  
Vol 2 (2) ◽  
pp. 121-131
Author(s):  
Jennifer S. Raj
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Health Monitoring ◽  
Research Work ◽  
Health Data ◽  
The Body ◽  
Two Phase ◽  
Health Monitoring System ◽  
Authentication Mechanism ◽  
Secure Environment ◽  
Aerial Vehicle

In this research work and unmanned aerial vehicle (UAV) that uses blockchain methodology to collect health data from the users and saves it on a server nearby is introduced. In this paper the UAV communicates with the body sensor hives (BSH) through a low-power secure manner. This process is established using a token with which the UAV establishes relationship with the BSH. The UAV decrypts the retrieved HD with the help of of the shared key, creating a two-phase authentication mechanism. When verified, the HT is transmitted to a server nearby in a safe manner using blockchain. The proposed healthcare methodology is analysed to determine its feasibility. Simulation and implementation is executed and a performance of the work is observed. Analysis indicates that the proposed work provides good assistance in a secure environment.

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