RealTime FaceRecognition Example

iOS & Android & Windows10 UWP support Win & Mac & Linux Standalone support WebGL support ChromeOS support visionOS support(beta) Support for preview in the Editor This asset requires “OpenCV for Unity”. This asset is an example project of the face recognition in real time using “OpenCV for Unity”. This project’s Code is a rewrite of https://github.com/MasteringOpenCV/code/tree/master/Chapter8_FaceRecognition using “OpenCV for Unity”. This asset is intended as a tutorial for beginning image processing students and does not pursue optimization of processing speed in order to make the code easy to understand. Official Site | ExampleCode | Android Demo WebGL Demo | Demo Video The Face recognition procedure is 4 steps. 1. Face detection 2. Face preprocessing 3. Collect and learn faces 4. Face recognition System Requirements Build Win Standalone & Preview Editor : Windows 8 or later Build Mac Standalone & Preview Editor : OSX 10.13 or later Build Linux Standalone & Preview Editor : Ubuntu18.04 or later Build Android : API level 24 or later Build iOS : iOS Version 12.0 or later Build VisionOS : visionOS 1 or later (beta)