Face identification for stand-alone or Web applications
VeriLook facial identification technology is designed for biometric systems developers and integrators. The technology assures system performance and reliability with live face detection, simultaneous multiple face recognition and fast face matching in 1-to-1 and 1-to-many modes.
Available as a software development kit that allows development of stand-alone and Web-based solutions on Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.
- More than a million algorithm deployments worldwide over the past 12 years.
- Live face detection prevents cheating with a photo in front of a camera.
- Simultaneous multiple face processing in live video and still images.
- Gender classification and age evaluation for each person in an image.
- Emotion recognition and facial feature points extraction.
- Webcams or other low cost cameras are suitable for obtaining face images.
- Available as multiplatform SDK that supports multiple programming languages.
- Surveillance SDK is available for integrating face identification into surveillance systems.
- Reasonable prices, flexible licensing and free customer support.
SDK contents
VeriLook SDK is based on VeriLook face recognition technology and is intended for biometric systems developers and integrators. The SDK allows rapid development of biometric applications using functions from the VeriLook algorithm that ensure fast and reliable face identification. VeriLook can be easily integrated into the customer's security system. The integrator has complete control over SDK data input and output.
VeriLook SDK includes the Device Manager library that allows to perform simultaneous capture from multiple cameras. Integrators can write plug-ins to support their cameras or other devices using the plug-in framework provided with the Device Manager.
VeriLook is available as the following SDKs:
- VeriLook (Current Version) Standard SDK is designed for PC-based, embedded or mobile biometric application development. It includes Face Matcher, Face Extractor and Face Verification component licenses, programming samples and tutorials, Device Manager library and software documentation. The SDK allows the development of biometric applications for Microsoft Windows, Linux, Mac OS X, iOS or Android operating systems.
- VeriLook (Current Version) Extended SDK is designed for biometric Web-based and network application development. It includes all features and components of the Standard SDK. Additionally, the SDK contains Face Client component licenses for PCs and mobile / embedded devices, sample client applications, tutorials and a ready-to-use matching server component.
The table below compares VeriLook (Current Version) Standard SDK and VeriLook (Current Version) Extended SDK. See the licensing model for more information on specific license types.
| Component licenses included with a specific SDK |
|---|
| Component types | VeriLook (Current Version)
Standard SDK | VeriLook (Current Version)
Extended SDK |
| • Face Verification component | 1 single computer license | 1 single computer license |
| • Face Matcher | 1 single computer license | 1 single computer license |
| • Embedded Face Matcher for Android | 1 single computer license | 1 single computer license |
| • Embedded Face Matcher for iOS | 1 single computer license | 1 single computer license |
| • Embedded Face Matcher for ARM Linux | 1 single computer license | 1 single computer license |
| • Face Client (1) | | 3 single computer licenses |
| • Embedded Face Client for Android | | 3 single computer licenses |
| • Embedded Face Client for iOS | | 3 single computer licenses |
| • Embedded Face Client for ARM Linux | | 3 single computer licenses |
| • Face Extractor | 1 single computer license | 1 single computer license |
| • Embedded Face Extractor for Android | 1 single computer license | 1 single computer license |
| • Embedded Face Extractor for iOS | 1 single computer license | 1 single computer license |
| • Embedded Face Extractor for ARM Linux | 1 single computer license | 1 single computer license |
| • Matching Server | | + |
(1) Face Client component includes Face Extractor, Face Token Image and Face BSS components, which can be also obtained separately.
VeriLook (Current Version) SDK includes programming samples and tutorials that show how to use the components of the SDK to perform face template extraction or matching against other templates. The samples and tutorials are available for these programming languages and platforms:
| Windows
32 & 64 bit | Linux
32 & 64 bit | Mac OS X | Android | iOS |
| Programming samples |
|---|
| • C/C++ | + | + | + | | |
| • Objective-C | | | | | + |
| • C# | + | | | | |
| • Visual Basic .NET | + | | | | |
| • Sun Java 2 | + | + | + | + | |
| Programming tutorials |
|---|
| • C | + | + | + | | |
| • C# | + | | | | |
| • Visual Basic .NET | + | | | | |
| • Sun Java 2 | + | + | + | + | |
TECH SPECS
640 x 480 pixels is the recommended minimal image size for faces' detection. Face template extraction and matching is not dependent on the image size.32 pixels is the minimal distance between eyes for a face on image or video stream to perform face template extraction reliably. 64 pixels or more recommended for better template extraction results.All face templates should be loaded into RAM before identification, thus the maximum face template database size is limited by the amount of available RAM.VeriLook has certain tolerance to face posture that assures face enrollment convenience:head roll (tilt) – ±180 degrees (configurable);±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.head pitch (nod) – ±15 degrees from frontal position.head yaw (bobble) – ±45 degrees from frontal position (configurable).±15 degrees default value is the fastest setting which is usually sufficient for most near-frontal face images.See also the whole list of recommendations and constraints for facial recognition.VeriLook (Current Version) face detection algorithm can run in maximal speed or maximal accuracy modes. The face detection times in the table below are provided for 640 x 480 pixels images as ranges, where the smallest time corresponds to the maximal speed mode, and the largest time – to the maximal accuracy. The head pitch tolerance in the table below is always ±15°.
| VeriLook (Current Version) face detection algorithm performance for all faces in a frame on PC-based systems (milliseconds) |
| Roll tolerance | Yaw tolerance | Intel Core i7-4771 |
| ±15° | ±15° | 6 - 11 |
| ±15° | ±45° | 10 - 23 |
| ±45° | ±45° | 23 - 53 |
| ±180° | ±15° | 53 - 132 |
| ±180° | ±45° | 130 - 330 |
VeriLook biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware. Face template extraction is performed after all faces are detected in a frame. The template extraction time does not depend on image size.
| VeriLook (Current Version) face engine specifications |
| Embedded / mobile (1)
platform | PC-based (2)
platform |
| Template extraction components | Embedded
Face
Extractor | Embedded
Face
Client | Face
Extractor | Face
Client |
| Template extraction time (seconds) | 1.34 | 1.20 | 1.34 | 0.60 |
| Template matching components | Embedded Face Matcher | Face Matcher |
Template matching speed
(faces per second) | 3,000 | 40,000 |
| Single face record size in a template (bytes) | 4,028 or 5,066 or 7,128
(configurable) |
Notes:
(1) Requires to be run on iOS devices or Android devices based on at least Snapdragon S4 system-on-chip with Krait 300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core 2 Q9400 quad-core processor (2.67 GHz) to reach the specified performance.
