shubham0204/FaceRecognition_With_FaceNet_Android

Face Recognition using the FaceNet model and MLKit on Android.

50
/ 100
Established

This project helps developers integrate face recognition and classification capabilities into Android applications. You provide the app with a collection of images of individuals, organized into named folders, and it processes them to recognize those people from a live camera feed. This is intended for Android app developers looking to add an on-device facial identification feature without needing to retrain a machine learning model for each new person.

329 stars. No commits in the last 6 months.

Use this if you are an Android developer who needs to build an app that can identify specific individuals from a live camera feed using pre-stored images, directly on the device.

Not ideal if you require extremely high accuracy for critical production applications, as the FaceNet model's detection accuracy might not always be sufficient.

Android development mobile app features on-device AI user authentication security applications
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

329

Forks

106

Language

Kotlin

License

Apache-2.0

Last pushed

Jul 27, 2024

Commits (30d)

0

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