RealTime FaceRecognition Example
Real-time face recognition example using OpenCV for Unity
Real-time face recognition example using OpenCV for Unity* This page contains affiliate links, meaning we may earn a small commission if you purchase something through them, at no extra cost. FREE
- Category:
- Templates › Tutorials
- Developer:
- Enox Software
- Price:
- FREE
- Rating:
- Favorites:
- 434
- Supported Unity Versions:
- 2021.3.35 or higher
- Current Version:
- 1.1.1
- Download Size:
- 4.50 MB
- Last Update:
- Nov 8, 2024
- Description:
- This package is an example project of face recognition in real-time using OpenCV for Unity. It is designed as a tutorial for beginners in image processing and prioritizes ease of understanding over processing speed.
The project supports various platforms, including iOS, Android, Windows10 UWP, WebGL, and standalone versions for Windows, Mac, and Linux. It also provides preview support in the Editor.
The face recognition procedure consists of four steps: face detection, face preprocessing, collecting and learning faces, and face recognition.
System requirements include:
* Windows 8 or later for building Win Standalone and Preview Editor
* OSX 10.13 or later for building Mac Standalone and Preview Editor
This package requires OpenCV for Unity and is based on a rewritten version of the code from a GitHub repository. - Technical Details:
- The package supports various platforms, including iOS, Android, Windows10 UWP, WebGL, and standalone versions for Windows, Mac, and Linux. It also provides preview support in the Editor.
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