Face detection and Face Recognition app allow user to train and recognize user
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| Name | Face Recognition |
|---|---|
| Version | 28.0 |
| Update | Aug 20, 2024 |
| Size | 28 MB |
| Category | Libraries & Demo |
| Installs | 100K+ |
| Developer | MMM developers |
| Android OS | Android 5.0+ |
| Google Play ID | org.opencv.javacv.recognition |
Face Recognition · Screenshots
Face Recognition · Description
This Face Recognition application detects and recognize user's face. Face Recognition has three main module
First Face Recognition allows user to train people by face detection and save user names.
Second Face Recognition module face recognition is to recognize trained user faces and displays names of people with match for face detection.
The third Face Recognition module is a face recognition gallery consisting of all trained faces by face detection and face recognition. Users can delete faces as well.
All images are saved in the user's mobile so your images are saved so you can train as many faces as you can.
face recognition app is now updated with a newer version of OpenCV so that face detection and face recognition work smoothly on every device.
Face recognition applications have crossed 100k+ users thanks to you all.
The face training module of face recognition needs to compare at least two faces.
Face recognition with TensorFlow lite version will be launched soon.
First Face Recognition allows user to train people by face detection and save user names.
Second Face Recognition module face recognition is to recognize trained user faces and displays names of people with match for face detection.
The third Face Recognition module is a face recognition gallery consisting of all trained faces by face detection and face recognition. Users can delete faces as well.
All images are saved in the user's mobile so your images are saved so you can train as many faces as you can.
face recognition app is now updated with a newer version of OpenCV so that face detection and face recognition work smoothly on every device.
Face recognition applications have crossed 100k+ users thanks to you all.
The face training module of face recognition needs to compare at least two faces.
Face recognition with TensorFlow lite version will be launched soon.
