Low-cost system for on-board image processing in real time, applied to disaster mitigation
نویسندگان
چکیده
The climate change that affects our planet is constantly causing natural disasters, due to the increase in temperature, development of extreme rains, rivers overflow; Thus, phenomena such as earthquakes cause destruction bridges and can tsunamis, among other also occur. Current technology allows us observe what happening on thanks use terrestrial observation satellites, these satellite systems, well having advantages, have disadvantages, them we mention presence clouds registration images It carried out based present, another drawbacks visiting time satellites have, which has characteristic area you want record image not always available, therefore wait for day orbit pass through interest be recorded. Due this characteristic, at an emergency, either effect rain, earthquake or similar, when technical conditions cannot registered, alternatives arise, drones, solves a problem cloud cover, because drone flies low altitudes does problems, present work methodology low-cost systems proposed on-board processing drones In way effects disaster mitigated decisions made shortest possible time, consists embedded device, coupled connected camera, information sent ground station, concentrates affected area, proposes intelligent module capable being able process newly acquired board power finalize with reference bank find any land cover send result emergency message its earth proposal it cut download times Analysis if were conventional must first then uncouple end just them. As result, presented by tests detection changes transmission using computer Raspberry pi 3.
منابع مشابه
Real-time Image Processing on Low Cost Embedded Computers
In 2012 a federal mandate was imposed that required the FAA to integrate unmanned aerial systems (UAS) into the national airspace (NAS) by 2015 for civilian and commercial use. A significant driver for the increasing popularity of these systems is the rise in open hardware and open software solutions which allow hobbyists to build small UAS at low cost and without specialist equipment. This pap...
متن کاملA low-cost system for digital image processing of moving images in real time: application to X-ray fluoroscopy.
A low-cost image processing system and two real-time digital image processing algorithms using parallel processing have been developed to provide automatic equalization of moving images at video frequencies. The algorithms differ in the processing time required and the characteristics of the final image. The system takes an entire image from the video sequence, digitizes it, automatically calcu...
متن کاملClassification board for real time image segmentation
We present in this paper the realization of a classification board, for real-time image segmentation. The classification of each pixel is completed using a real time extraction of attributs and a geometric classification method by stress polytope training, which ensures a high decision speed (100 ns per pixels) and good performances. The decision operator has been integrated in the form of a fu...
متن کاملReal-Time Image Processing
For thousands of years engineers have dreamed of building machines with vision capabilities that match their own. However most image processing algorithms are computationally intensive making real-time implementation di cult, expensive and not usually possible with microprocessor based hardware. In this project a computationally intensive image-processing algorithm is implemented, analysed, and...
متن کامل“Real-Time Lane Detection for Driving System Using Image Processing”
In the past decade a lot of research has been done on vision based real-time advanced driver safety system (ADAS). Many OEM car manufacturing companies have stressed their research on ADAS so as to increase the vehicle and driver safety. This work is aimed at developing an algorithm for on road lane departure warning (LDW) system. LDW can be successfully used for dropping the on road accidents ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nucleation and Atmospheric Aerosols
سال: 2023
ISSN: ['0094-243X', '1551-7616', '1935-0465']
DOI: https://doi.org/10.1063/5.0125498