Face Recognition Application APK
Version 1.2.3 - com.lauszus.facerecognitionapplauszus,facerecognitionapp,education,face,recognition
APP Information
Download Version | 1.2.3 (2000006) |
Apk Size | 8.54 MB |
App Developer | Lauszus Consulting |
Malware Check | TRUSTED |
Install on Android | 4.1.x and up |
App Package | com.lauszus.facerecognitionapp.apk |
MD5 | 5e8c840935bf95bc247e7a36e50aab44 |
Rate | 5 |
Website | https://github.com/Lauszus/FaceRecognitionApp |
Table of Contents
Download Face Recognition Application 1.2.3 APK
App Description
Face Recognition Application is lauszus,facerecognitionapp,education,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 Lauszus Consulting website who developed it. com.lauszus.facerecognitionapp.apk apps can be downloaded and installed on Android 4.1.x and higher Android devices. The Latest Version of 1.2.3 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 30+ times on store. You can also download com.lauszus.facerecognitionapp APK and run it with the popular Android Emulators.
Note that this app is meant for developers and NOT consumers, so please do not leave a negative review if you are not a developer. This app demonstrates how to calculate Eigenfaces and Fisherfaces used for face recognition on an Android device. The library uses my other project FaceRecognitionLib: https://github.com/Lauszus/FaceRecognitionLib in order to calculate the Eigenfaces and Fisherfaces. The source code is available at the following link: https://github.com/Lauszus/FaceRecognitionApp.
App ChangeLog
- * Fixed support for Android NDK r18, as gnustl has been removed
- * Make the image square, so it does not crash on phones with different aspect ratios - see: https://github.com/Lauszus/FaceRecognitionApp/issues/25
- * Add double tap to flip camera gesture
- * Update Eigen to 3.3.5
- * Update Gradle to 4.6
- * Use Android SDK 28
App Screens
Apk scan results
Apk Scaned By TotalVirus Antivirus,com.lauszus.facerecognitionapp.apk Was Pure And Safe. Scan Stats:harmless:0|type-unsupported:11|suspicious:0|confirmed-timeout:0|timeout:0|failure:0|malicious:0|undetected:60| Name: SHA-1:f8ba4b741930e8b31a890281efedb9c1e66dd692 SHA-256:b063b95e96e69e40979724ae4fcb4e3c75f05167bca153913b7b83ce50064578 SSDEEP:196608:thQJZe9bVVEH9Y+sEMSrmgmueq9YntD0KxtqUUyRQ2:tha89puH9semgmursD08ZUyRQ2 File type:Android Magic:Zip archive data, at least v2.0 to extract File size:8950462 Uncompressed Size:21133948 Contained Files :570 Contained Files By Type:xml:259,dex:1,MF:1,pro:1,RSA:1,so:2,SF:1,png:272,
Amer Shehzad
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.
Alice Hollenbeck
It only allows you to take pictures, not use existing pictures, so useless wasted my time
Khairul Hilman
Cant believe there are some people who knows nothing about the purpose of this app but yet leave horrible review. Read the description, it's for testing/learning purposes for devs
Omara Oscar
Nonsense it has no important work to do. Rubbish you wasted my time only camera working but also do not take pictures. Stupid
Elbert Giffin
All it does is take pic. I can do that with my camera.
Geek Moh
I'm giving three stars now because the app only shows the same result from previous test. Doesn't accurately identify the human face
Tariq Mahmood
I did not understand the working of application. It just take pictures and nothing else.
Tadas Bučys
Crashes at the start.
Mast Dan
I thought it reveals the person name after you have made the photo lol. Am not creepy but I have pictures of old friends in the school who I want to connect but I forgot their names so I need a app that does that.
waqas ahmad
Wastage of time... Not recognised any person.