MiniAiLive-Face Liveness Detection AndroidSDK VS mobilePydnet

Compare MiniAiLive-Face Liveness Detection AndroidSDK vs mobilePydnet and see what are their differences.

MiniAiLive-Face Liveness Detection AndroidSDK

Upgrade your Android app with MiniAiLive's 3D Passive Face Liveness Detection! With our advanced computer vision techniques, you can now enhance security and accuracy on your Android platform. Check out our latest repository containing a demonstration of 2D & 3D passive face liveness detection capabilities. Try it out today! (by MiniAiLive)
Android Deep Learning liveness-detection Computer Vision face-anti-spoofing face-liveness-detection-sdk on-premise
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miniai.live
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mobilePydnet

Pydnet on mobile devices (by FilippoAleotti)
Deep Learning monocular-depth-estimation iOS Android Computer Vision
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MiniAiLive-Face Liveness Detection AndroidSDK mobilePydnet
- 2
238 247
0.0% -
6.6 0.0
about 1 month ago about 1 year ago
Kotlin Swift
- Apache License 2.0
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MiniAiLive-Face Liveness Detection AndroidSDK

Posts with mentions or reviews of MiniAiLive-Face Liveness Detection AndroidSDK. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning MiniAiLive-Face Liveness Detection AndroidSDK yet.
Tracking mentions began in Dec 2020.

mobilePydnet

Posts with mentions or reviews of mobilePydnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-04.
  • How to use NumPy to compute 3D point cloud map ?
    1 project | /r/learnpython | 25 Feb 2021
    I'm currently using this FilippoAleotti/mobilePydnet: Pydnet on mobile devices (github.com)
  • Show HN: 3D-Parallax, an XP of 3D on a single 2D image using the parallax effect
    2 projects | news.ycombinator.com | 4 Jan 2021
    Not exactly the same, but I made something a while ago that takes a 2D image and tries to infer a depth map to create a 3D effect: https://awesomealbum.com/depth

    It's based on [1] and runs entirely in the browser, allthough it takes a moment to create the depth map. It's more of a toy project at this point. But I was surprised when I saw that Google is doing the same thing now in Google Photos [2].

    [1] https://github.com/FilippoAleotti/mobilePydnet

    [2] https://www.theverge.com/2020/12/15/22176313/google-photos-2...

What are some alternatives?

When comparing MiniAiLive-Face Liveness Detection AndroidSDK and mobilePydnet you can also consider the following projects:

CapacitorGoogleAuth - Capacitor plugin for Google Auth. Lightweight & no dependencies.

react-native-vision-camera - 📸 A powerful, high-performance React Native Camera library.

iowncode - A curated collection of iOS, ML, AR resources sprinkled with some UI additions

CoreML-in-ARKit - Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.

blokada - The official repo for Blokada apps.

Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Plank - A tool for generating immutable model objects

3D-parallax - Reproduce parallax effect for an user whose point of view is tracked by a camera

frameme - Frame screenshots for any device quickly.

magic - Scanner for decks of cards with bar codes printed on card edges

mobilePydnet vs CapacitorGoogleAuth mobilePydnet vs react-native-vision-camera mobilePydnet vs iowncode mobilePydnet vs CoreML-in-ARKit mobilePydnet vs blokada mobilePydnet vs Bender mobilePydnet vs Plank mobilePydnet vs 3D-parallax mobilePydnet vs frameme mobilePydnet vs magic