Used AR Sensor for Android?


AR Sensor Analysis

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AR Sensor is an educational application designed for Android devices that enables users to visualize real-time sensor data in a three-dimensional augmented reality (AR) environment. This innovative app leverages AR technology to display spatial WiFi signal strength throughout a user's home and illustrates the magnetic field lines around magnets, providing a unique perspective on these physical phenomena. By utilizing AR, users engage with the data in an interactive manner, enhancing their understanding of wireless signals and magnetic fields.

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To utilize AR Sensor, devices must be compatible with ARCore, which is essential for the app's functionality. Users can verify their device's compatibility through the ARCore supported devices list offered by Google. The app serves both practical and educational purposes, allowing users to optimize their WiFi networks for improved connectivity and facilitating hands-on learning about magnetism. The application is available for free on the Google Play Store, making it an accessible tool for anyone interested in sensor visualization.

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Used AR Sensor for Android?


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Full Specifications

GENERAL
Release
Latest update
Version
1.1.3
OPERATING SYSTEMS
Platform
Android
Additional Requirements
Requires Android 8.0 and up
POPULARITY
Total Downloads
36
Downloads Last Week
1

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Developer’s Description

See the spatial Wifi signal strength in your home. See 3D magnetic field lines around a magnet...

See the spatial Wifi signal strength in your home! See 3D magnetic field lines around a magnet!

Note: your device needs to support ARCore (https://developers.google.com/ar/discover/supported-devices)

This AR app visualizes sensor data from your phone (e.g., magnetic strength, Wifi signal strength, etc) and projects+visualizes them in 3D space with AR.

See my blog for how this works: https://kenkawakenkenke-en.hatenablog.com/entry/2019/01/06/231619


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AI Assisted Content Disclosure

Content created and reviewed by Softonic with information obtained from Ken Kawamoto, using AI.

CNET's editorial team was not involved in the creation of this content. Opinions, analysis and reviews were not provided by CNET.