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19-04-2016, 11:11 PM
سعد الدين متصل
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تاريخ التسجيل: Mar 2003
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    #1  

تطبيق المصادقة بالتعرف على الوجه للمطورين Luxand FaceSDK v6.1.0


تطبيق المصادقة بالتعرف الوجه للمطورين


برنامج عالي الأداء، ومنصة متعددة للتعرف على الوجه، وتحديد والوجه. خدمة لمطوري البرمجيات في جميع أنحاء العالم، FaceSDK هو الطريقة المثلى لتمكين الويب وسطح المكتب والتطبيقات النقالة مع مصادقة المستخدم المعتمدة على الوجه، وكشف الوجه التلقائي والتعرف عليه.


ملاحظة: المصادقة يعني للتحقق وليس الصداقة :)

برنامج
Luxand FaceSDK v6.1.0

تطبيق المصادقة بالتعرف الوجه للمطورين

تطبيق المصادقة بالتعرف الوجه للمطورين


FaceSDK is a high-performance, multi-platform face recognition
identification and facial feature detection solution. Serving software
developers worldwide, FaceSDK is a perfect way to empower Web, desktop
and mobile applications with face-based user authentication, automatic
face detection and recognition

Compatible with 32- and 64-bit desktop environments and mobile platforms
including iOS and Android, FaceSDK is easy to integrate with new or
existing projects, enabling developers to create a wide variety of
applications. The system detects entire faces and individual facial
features, recognizes faces in still images and in real-time video
streams, and allows the creation of a wide range of applications from
simple automatic red-eye removal tools to biometric login solutions

The innovative motion-based recognition system enables seamless
recognition and identification of subjects appearing in video streams
allowing building attendance control, security and surveillance systems
that require no prior enrollment. FaceSDK can help building of complex
face morphing and animation systems for entertainment portals
Applications

FaceSDK can be used in many online, mobile and desktop solutions where
precise and reliable face identification is required. The face
identification library can be used in photo imaging and video processing
solutions, Web applications and biometric login automation systems. The
system is widely used in security monitoring, access control and
surveillance systems. The SDK has been used by the entertainment industry
to create real-time animations. Its applications include:

Real-time biometric authentication systems allowing the user to log
in by simply looking into a webcam. FaceSDK enables touchless
non-intrusive biometric authentication;
Time and attendance control systems;
Video-based subject identification applications with no prior
enrolment;
Video surveillance systems with automatic face identification;
Image organizers with face-based image search;
Face animation effects for the entertainment industry;
Automatic red-eye removal tools empowered with facial feature
detection;
Mobile applications for iOS and Android;
Image enhancement applications and graphic editors

iOS and Android Support

Support for the two popular mobile platforms enables mobile developers
create applications that can identify people by using iOS or Android
devices. FaceSDK can be used in Android-based embedded devices. FaceSDK
supports iOS 5.0+, armv7/x86 (iPhone 3GS+, iPad, simulator), iOS 7.0
arm64/x86_64 (iPhone 5S+, iPad Air+, iPad mini retina+, simulator) and
Android 4.0+ (platform version 14+), armv7/x86. Demo applications are
available in Apple AppStore and Google Play
Easy Integration

Our customers greatly appreciate how well the API is thought-out, and how
easy it is to integrate the solution into their projects. We carefully
designed FaceSDK architecture in order to speed up and simplify
integration. Every little feature is demonstrated in a working sample
that can be copied and used in your own project. FaceSDK supports the
widest range of platforms and development environments including
Windows/Linux 32/64 bit, Mac OS X 64-bit, Android and Apple iOS systems
Supported development environments include Microsoft Visual C++, C
Objective C, VB.NET, VB6, Java, Delphi and C++Builder. Comprehensive
documentation is available to help developers understand every little
feature, setting and option
Superb Reliability

We strived to deliver a robust solution allowing our customers to build
maintenance-free systems. We carefully designed, implemented and tested
each section of our code to ensure zero memory leaks and no lockups
during operation. The system is tried by many customers on a huge number
of servers running critical applications, including our own stress-loaded
projects
Features

FaceSDK is a leading face identification solution on the market. The SDK
is loaded with features, allowing developers to solve just about any face
recognition, identification, or authentication task. FaceSDK offers:

Face identification and tracking in live video streams
Stable face recognition independent of lighting conditions
Fast and precise face detection in stills and videos
Fast and robust eye detection in stills and videos
Detection of 66 facial features, smooth facial feature tracking in
video
Automated gender recognition and expression recognition in stills and
videos
Support for every webcam on the market, including MJPEG-compatible IP
cameras
A wide range of functions for image manipulation and transformation
Multi-threaded performance offers additional performance benefits on
todays multi-core CPUs

Face Identification and Tracking in Live Video Streams

The revolutionary motion-based face recognition technology enables
video-based identification of human subjects with no prior enrolment. The
API automatically recognizes all faces encountered in a video stream
registering their complete biometric information captured from the many
different views and angles, complete with live emotions and expressions
Each subject can be tracked seamlessly and automatically without specific
enrolment. Enrolling a person is as simple as putting a name tag in a
video. This can be done at any time, and the system will automatically
identify that subject in all past, present and future videos
Enrolment-free identification is perfect for building CRM systems for
registration desks, access and attendance control systems, surveillance
and security applications

How does it differ from existing systems? Most current video
identification systems are based on key frame processing. In other words
they discard information available in the motion stream, and revert to
still image recognition instead. This design approach requires a set of
sophisticated preliminary enrolment procedures where the subjects face is
captured against plain background at various angles and posed expressions

FaceSDK 6.1 implements a true motion-based video identification system
It automatically recognizes and tags all faces encountered in a video
stream. Personalizing any identified subject becomes a simple matter of
putting a name tag on it, or linking its tag to a database record. No
special enrolment procedure is ever required. In addition, recognition
rate is significantly higher in true motion-based recognition systems
compared to traditional key frame-based ones. On comprehensive Multi-PIE
tests, the recognition rate increases from 23% to 89% with video-based
identification compared to key frame-based identification, considering
that just a single image of a subject is enrolled and false acceptance
rate is 0.06%
Face Recognition

The library can compare different faces, returning the degree of
likeness. This allows identifying human faces appearing in still images
or video streams by looking up face databases. Recognizing and
identifying still images enables locating similar faces in drivers
license databases while helping detect duplicates. The system implements
image indexing, creating compact templates for faster searching. This in
turn allows building a range of security applications such as video
surveillance and real-time access control systems. Many more features and
higher performance are achievable in video-based surveillance systems
using the new set of motion-based recognition algorithms

FaceSDK is designed to perform equally well under varying lighting
conditions. It works fine under daylight, fluorescent and incandescent
lighting. When testing on a FRGC database, the library successfully
identifies individuals in 93.9% of cases if acceptable false positive is
0.1%
Face Detection in Stills and Videos

Luxand FaceSDK returns coordinates of all human faces appearing in the
picture or notifies if no face is found. FaceSDK can track all faces
appearing in a video stream. It allows finding out if a new face appears
in the frame, or if one of the subjects leaves the frame. This in turn
enables easy implementation of people counting. When testing on the FERET
dup1+gallery database (frontal passport-like photos) successfully detects
99.5% of faces, with only 0.05% false positives
Eye Detection in Stills and Videos

FaceSDK detects coordinates of both eyes. Its high performance allows
using this function on still images as well as in video streams in
real-time. The ability to track eye movements enables building a variety
of entertainment applications such as trying eyeglasses. An average error
on FERET dup1+gallery is 3.1% of inter-ocular distance, while in 95%
occurrences the error is less than 5.7% of inter-ocular distance. What do
these numbers mean? They mean that, on average, if there are 100 pixels
between the eyes, the eyes will be detected with the precision of +/- 3
pixels; and even if the error is greater than that, in 95% itll be less
than 5 pixels
Facial Feature Detection and Tracking

Luxand FaceSDK employs sophisticated algorithms to detect and track
facial features quickly and reliably. The SDK returns the coordinates of
66 facial feature points including eyes, eye contours, eyebrows, lip
contours, nose tip, and so on. The detection works in real-time on
desktop and mobile, which allows performing smooth real-time tracking and
transformations of facial features in live video. On desktop platforms
FaceSDK delivers true 60-fps performance on video streams, while video
processing on mobile platforms such as Apple iPhone 6 is performed at 15
fps (higher rates are achievable on devices with more powerful
platforms). The feature enables building applications adding new elements
such as mustaches, eyeglasses or wigs; face morphing and augmented
reality. By using FaceSDK, we built Mirror Reality, an application that
ages faces in real time by detecting facial features in a video stream
Developers can implement mechanisms to analyze faces detecting emotions
or rotation angle. Morph, animate, or transform human faces with the SDK! HOW TO INSTALL/RUN THIS RELEASE

o1 - Unpack the release into a directory of your choice
o2 - Run the installer and install it
o3 - See included amped.txt
o4 - Enjoy another fine AMPED release, but buy it if you will use it
o5 - As always, make sure to have a firewall to block outbound connections

157MB

تحميل من سرفر البوابة


http://mediafire.com/download/001/1/Luxand.FaceSDK.v6.1.0.rar





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20-04-2016, 03:03 AM
وائل مصطفى محمود غير متصل
الوسـام الماسـي
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تاريخ التسجيل: Apr 2014
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    #2  
جزاك الله كل خير وبارك الله بك


اللهم لاتجعل الدنيا أكبـــر همنا ولا مبـــلغ علمنا

25-04-2016, 10:36 AM
كمال بدر غير متصل
الوسـام الماسـي
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    #6  

جزاكَ الله خيراً أخي الكريم عن هذا الطرح القيم والنافع والمفيد ... تقبل تحياتي.



سُبْحَانَ اللَّهِ وَبِحَمْدِهِ ،-، سُبْحَانَ اللَّه الْعَظِيم

موضوعات العبد الفقير إلى الله الغنى بالله المتوكل على الله.



 


تطبيق المصادقة بالتعرف على الوجه للمطورين Luxand FaceSDK v6.1.0

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