Face Recognition APK

Version 1.5.1 - ch.zhaw.facerecognition
zhaw,facerecognition,libraries,demo,face,recognition

APP Information

Download Version 1.5.1 (26)
Apk Size54.41 MB
App DeveloperSladi
Malware CheckTRUSTED
Install on Android5.0 and up
App Packagech.zhaw.facerecognition.apk
MD5deb859fb69bfb9720c2a289e5d120df6
Rate5
Website https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework

Download Face Recognition 1.5.1 APK

App Description

Face Recognition is zhaw,facerecognition,libraries,demo,face,recognition, content rating is Everyone (PEGI-3). This app is rated 5 by 1 users who are using this app. To know more about the company/developer, visit Sladi website who developed it. ch.zhaw.facerecognition.apk apps can be downloaded and installed on Android 5.0 and higher Android devices. The Latest Version of 1.5.1 Available for download. Download the app using your favorite browser and click Install to install the application. Please note that we provide both basic and pure APK files and faster download speeds than APK Mirror. This app APK has been downloaded 275+ times on store. You can also download ch.zhaw.facerecognition APK and run it with the popular Android Emulators.

Face Recognition can be used as a test framework for several face recognition methods including the Neural Networks with TensorFlow and Caffe.

It includes following preprocessing algorithms:

- Grayscale

- Crop

- Eye Alignment

- Gamma Correction

- Difference of Gaussians

- Canny-Filter

- Local Binary Pattern

- Histogramm Equalization (can only be used if grayscale is used too)

- Resize

You can choose from the following feature extraction and classification methods:

- Eigenfaces with Nearest Neighbour

- Image Reshaping with Support Vector Machine

- TensorFlow with SVM or KNN

- Caffe with SVM or KNN

The manual can be found here https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/USER%20MANUAL.md

At the moment only armeabi-v7a devices and upwards are supported.

For best experience in recognition mode rotate the device to left.

For best performance use "Image Reshaping with Support Vector Machine" (0.5 s / image).

For best accuracy use the "VGG Face Descriptor" model (the performance is very bad though - 6.5 s/ image)

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TensorFlow:

If you want to use the Tensorflow Inception5h model, download it from here:

https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip

Then copy the file "tensorflow_inception_graph.pb" to "/sdcard/Pictures/facerecognition/data/TensorFlow"

Use these default settings for a start:

Number of classes: 1001 (not relevant as we don't use the last layer)

Input Size: 224

Image mean: 128

Output size: 1024

Input layer: input

Output layer: avgpool0

Model file: tensorflow_inception_graph.pb

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If you want to use the VGG Face Descriptor model, download it from here:

https://www.dropbox.com/s/51wi2la5e034wfv/vgg_faces.pb?dl=0

Caution: This model runs only on devices with at least 3 GB or RAM.

Then copy the file "vgg_faces.pb" to "/sdcard/Pictures/facerecognition/data/TensorFlow"

Use these default settings for a start:

Number of classes: 1000 (not relevant as we don't use the last layer)

Input Size: 224

Image mean: 128

Output size: 4096

Input layer: Placeholder

Output layer: fc7/fc7

Model file: vgg_faces.pb

_______________________________________________________________

Caffe:

If you want to use the VGG Face Descriptor model, download it from here:

http://www.robots.ox.ac.uk/~vgg/software/vgg_face/src/vgg_face_caffe.tar.gz

Caution: This model runs only on devices with at least 3 GB or RAM.

Then copy the files "VGG_FACE_deploy.prototxt" and "VGG_FACE.caffemodel" to "/sdcard/Pictures/facerecognition/data/caffe"

Use these default settings for a start:

Mean values: 104, 117, 123

Output layer: fc7

Model file: VGG_FACE_deploy.prototxt

Weights file: VGG_FACE.caffemodel

_______________________________________________________________

The license files can be found here https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/LICENSE.txt and here https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/NOTICE.txt 

App ChangeLog

  • - Switch from building Tensorflow from source to using the Jcenter library
    - Included optimized_facenet model and changed default settings to use TensorFlow by default

App Screens

Face Recognition App Screen 1Face Recognition App Screen 2Face Recognition App Screen 3Face Recognition App Screen 4Face Recognition App Screen 5Face Recognition App Screen 6Face Recognition App Screen 7Face Recognition App Screen 8

fa604646eed9760caab6982bf2cc8218.apk
Name:face-recognition.apk
Name:base.apk

Apk scan results


Apk Scaned By TotalVirus Antivirus,ch.zhaw.facerecognition.apk Was Pure And Safe.

Scan Stats:harmless:0|type-unsupported:12|suspicious:0|confirmed-timeout:0|timeout:1|failure:0|malicious:0|undetected:62|
Name:fa604646eed9760caab6982bf2cc8218.apk
Name:face-recognition.apk
Name:base.apk SHA-1:f2eec606e485aa84f4fa736b76a69a1d189c0d39 SHA-256:a6fe4cdb772a3ee715ec6623421a8c1d8e98a510ba852d0d1db0134f3c270f8c SSDEEP:1572864:4rJcgmPqIHZNwGIYMb0GxcyBs8lZaFDWdnPz:4rJ/mPqIHnNGxcFUFdL File type:Android Magic:Zip archive data, at least v2.0 to extract File size:57056784 Uncompressed Size:185184718 Contained Files :385 Contained Files By Type:xml:110,dex:1,MF:1,RSA:1,jpg:1,pb:1,so:11,SF:1,png:257,

Older Versions

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Google Play Reviews

  1. Aardvark Mindshank-avatar

    Aardvark Mindshank

    Actually quite amazing. Simply train it with 20 pics of each person. Then activate the recognition training. And finally it recognises the face. The photos are put into the file system so that it's easy to edit/add your own. Very cool indeed. The I ly thing I need is some way to drive an external system from this - eg. output a get endpoint url per person. That would allow this system to drive home automation systems!

  2. Aamir shahzad-avatar

    Aamir shahzad

    Its working fine when recognizing already registered person. But it doesnot work for unknown person who is not in database. For every new or unknown person it show the name located lastly in database.

  3. Impiger IOT-avatar

    Impiger IOT

    App gets crashed when we try Face recognition view, author could suggest the best configuration mobiles to use this app

  4. dylan slingsby-avatar

    dylan slingsby

    Could not upload images this makes using it for anything meaningful virtually impossible

  5. prajwal singh-avatar

    prajwal singh

    I want to distinguish between the trained people and untrained people. If the people. Is untrained it should show an mesaage that unknown people.. How to do this????

  6. Joseph Wanshe-avatar

    Joseph Wanshe

    Useless app. Not even worth a 1 star. STOP wasting people's data.

  7. queen imaro-avatar

    queen imaro

    Please guys i have never commented on any app before but i had to in this case..... This app is TERRIBLE. . Total waste of data and time.... Infact whoever create this app should be arrested for fraud....

  8. It's Cheri-avatar

    It's Cheri

    I wanted it to scan my face when I want to be on my phone.

  9. Alex Jesses-avatar

    Alex Jesses

    this app is not working on my phone I installed on it and I take a setup but it not working at all

  10. Alexis Britt-avatar

    Alexis Britt

    What? This doesnt do nothing, is there a real app that works i want it for possabel scam want to see if winner is real, Yes my spelling sucks, same as all this other apps