RealTimeFaceRecognitionExample Application icon

RealTimeFaceRecognitionExample 1.0.7

40.5 MB / 10+ Downloads / Rating 5.0 - 1 reviews


See previous versions

RealTimeFaceRecognitionExample, developed and published by Enox Software, has released its latest version, 1.0.7, on 2023-12-21. This app falls under the Libraries & Demo category on the Google Play Store and has achieved over 1000 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

RealTimeFaceRecognitionExample APK available on this page is compatible with all Android devices that meet the required specifications (Android 5.0+). 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: com.enoxsofrware.realtimefacerecognitionexample

Updated: 1 year ago

Developer Name: Enox Software

Category: Libraries & Demo

New features: Show more

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing RealTimeFaceRecognitionExample 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

RealTimeFaceRecognitionExample 1.0.7
2023-12-21 / 40.5 MB / Android 5.0+

About this app

this project's code is the rewrite of https://github.com/MasteringOpenCV/code/tree/master/Chapter8_FaceRecognition using “OpenCV for Unity”.

Face recognition procedure is 4 steps.
1. Face detection
2. Face preprocessing
3. Collect and learn faces
4. Face recognition

New features

1.0.7
[Common]Updated for OpenCV for Unity v2.4.2.( This asset requires OpenCVforUnity
2.4.2 or later.)
[Common]Refactored the script.

1.0.6
[Common]Updated for OpenCV for Unity v2.3.8.( This asset requires OpenCVforUnity 2.3.8 or later.)

1.0.5
[Common]Updated for OpenCV for Unity v2.3.3.( This asset requires OpenCVforUnity 2.3.3 or later.)

1.0.4
[Common]Fixed save and load process. [Common]Update to WebCamTextureToMatHelper v1.0.6.

App Permissions

Allows applications to open network sockets.
Allows applications to enter Wi-Fi Multicast mode.
Required to be able to access the camera device.
Allows an application to read from external storage.
Allows applications to access information about networks.