Snail Vision 2.0 Application icon

Snail Vision 2.0 1.0

3.2 MB / 0+ Downloads / Rating 5.0 - 1 reviews


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Snail Vision 2.0, developed and published by CORTEX, has released its latest version, 1.0, on 2020-08-16. This app falls under the Education category on the Google Play Store and has achieved over 1 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Snail Vision 2.0 APK available on this page is compatible with all Android devices that meet the required specifications (Android 2.1+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: appinventor.ai_igodproduction.ArduCam640

Updated: 4 years ago

Developer Name: CORTEX

Category: Education

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Snail Vision 2.0 on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

Snail Vision 2.0 1.0
2020-08-16 / 3.2 MB / Android 2.1+

About this app

View a subsampled and normalized image create from the 8-bit raw Bayer array available via the Arducam Mini 5mp Plus. The generated image id buily from an array of 9x9 RGB pixels with a total size of 243 bytes. These small images are optimal for tasks such as scene and state recognition in machine vision when used in conjunction with a neuromorphic chip such as the CM1k or other parallel processor. The code snippet and instructions are available at cortexsystems.yolasite.com.

New features

Initial release.

App Permissions

Allows applications to open network sockets.
Allows applications to discover and pair bluetooth devices.
Allows applications to access information about networks.
Allows applications to access information about Wi-Fi networks.
Allows applications to connect to paired bluetooth devices.
Allows an application to write to external storage.
Allows an application to read from external storage.