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- FaceCode - face recognition Vs. KBY-AI Face Liveness Detection
FaceCode - face recognition vs KBY-AI Face Liveness Detection Uso e estatísticas
* FaceCode Guide *
- Manage User
This page allows you to register and delete users.
Only registered users can be recognized.
If it's not recognized well, delete the user and try registering it again!
You can register people up to 10.
- Target API
A page for entering API information created by the user.
Base Url must end with '/'.
Headers, Post Body follow the JSON format.
It calls POST when face recognition is successful and when it fails.
- Face Recognition
This page compares the face of the camera with the registered users.
The threshold can be adjusted by pressing the gear button on the upper right.
The default value for the threshold is 80, which is recommended between 70 and 85 considering the external environment.
- Apple App Store
- Gratuitos
- Produtividade
Ranking da Loja
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Our app utilizes an innovative 3D passive liveness detection technique to accurately detect spoofed faces.
With real-time computation of a liveness score from a single image captured by your iPhone camera, you can be confident that your sensitive information is always secure.
In addition, our app can also calculate the liveness score from gallery images and display the results for even greater peace of mind.
Protect yourself from fraudulent activity - download our app today and experience the ultimate in face liveness detection technology.
- Apple App Store
- Gratuitos
- Produtividade
Ranking da Loja
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FaceCode - face recognition versus KBY-AI Face Liveness Detection comparação de classificação
Compare a tendência de classificação de FaceCode - face recognition nos últimos 28 dias versus KBY-AI Face Liveness Detection
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Comparação da classificação de FaceCode - face recognition vs. KBY-AI Face Liveness Detection por país
Compare a tendência de classificação de FaceCode - face recognition nos últimos 28 dias versus KBY-AI Face Liveness Detection
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FaceCode - face recognition VS.
KBY-AI Face Liveness Detection
janeiro 17, 2025