ARWeather: Weather Forecasting and Visualization using Augmented Reality

Manimegalai, R and Arawind, S and Sri Rajiv Jegan, G V and Gomathi, B (2023) ARWeather: Weather Forecasting and Visualization using Augmented Reality. In: 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India.

[thumbnail of ARWeather Weather Forecasting and Visualization using Augmented Reality.pdf] Text
ARWeather Weather Forecasting and Visualization using Augmented Reality.pdf - Published Version

Download (158kB)

Abstract

Weather Forecasting is the application of AI to predict the state of the atmosphere for a given location. Earlier, weather forecasting methods usually relied on observed patterns of events. Our ancestors predicted the next day weather based on the happenings of the previous day evening. However, those intuitive methods and predictions are not reliable. This paper depicts the design and implementation of an application for weather forecasting and visualization using Augmented Reality (AR), which can forecast climatic conditions, namely, such as rain, snow, sun, wind, and hail. This work deals with various real-world weather types and how they could be simulated using a mobile augmented reality system. Users can move freely inside the real world without limitations, experiencing the developed augmented objects. A visual change of the augmented reality weather conditions can be used as a supplement to train the simulations for search and rescue teams during catastrophic disasters.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Applications of AI; Arweather; Climatic conditions; Design and implementations; Forecasting methods; Mobile applications; Real-world; Weather forecast; Weather types; Weather visualization
Subjects: C Computer Science and Engineering > Human-Computer Interaction
C Computer Science and Engineering > Augmented Reality
Divisions: Computer Science and Engineering
Depositing User: Users 5 not found.
Date Deposited: 26 Jul 2024 06:48
Last Modified: 14 Aug 2024 09:52
URI: https://ir.psgitech.ac.in/id/eprint/831

Actions (login required)

View Item
View Item