Armatura FacePro Android SDK (AKA FacePro SDK) is a pure software development toolkit running on general or custom Android devices which have built-in digital camera or external web camera, such devices can be Android smartphones, tablets or handheld devices. FacePro SDK is built on deep learning-based computer vision technologies, delivers face analytics and face recognition functionalities on captured human face images, enables the applications to track, analyze and recognize the human face with high speed and accuracy. With the rich interfaces provided by FacePro SDK, the integrator/developer can enable face recognition features on Android App, including detecting face, tracking face, analyzing face-attributes, detecting live person face from the digital camera and performing face registration and authentication as well. FacePro SDK encapsulates the deep learning algorithm details and makes the function calls transparent to upper-level applications. It provides intuitive, developer-friendly and self-contained interfaces to developers for agile integration development. FacePro SDK can be applied to a wide range of software applications where mobile authentication is required, such as identity management, single sign-on, digital signature and more.
SDK Name
Armatura FacePro Android SDK
SDK Size
Android Jar Lib
<100MB
Minimal Image Size
128 * 128 (pixel)
Pose Range
Yaw ≤ 30°, Pitch ≤ 30°, Roll ≤ 45°
Template Size
256 bytes
Performance*
Face Detection Time
< 50ms
Template Extraction Time
< 350ms
Identification Time
< 100ms
Match Mode
1:1 for verification, 1:N for identification
1:N Capacity
100,000 templates
Accuracy**
TAR >= 99.2% when FAR = 0.001%
Operation System
Android
Android 4.1 and above
Programming Language
Java
(Silver and above members can download after logging in)
Note:
[*] The algorithm is assessed on Intel® Core™ i5-3210M, 2.5GHz processor and 8GB DRAM.
[**] The accuracy is assessed on the proprietary infrared light face image data set. TAR: True Acceptance Rate, FAR: False Acceptance Rate.
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