SentiVeillance SDK

Face identification and movement tracking for video surveillance systems

SentiVeillance SDK is designed for developing software that performs biometric face identification and detects moving pedestrians or vehicles or other objects using live video streams from high-resolution digital surveillance cameras.

The SDK is used for passive identification – when passers-by do not make any efforts to be recognized. List of possible uses includes law enforcement, security, attendance control, visitor counting, traffic monitoring and other commercial applications.

Available as a software development kit that allows solution development for Microsoft Windows and Linux platforms.

Download Brochure (PDF).

Download demo application.

Download 30-day SDK Trial.

SDK Contents

SentiVeillance 5.0 SDK is based on the SentiVeillance 5.0 technology that is specially designed for integrating biometric facial recognition into video surveillance systems. Face templates created with SentiVeillance SDK are fully compatible with VeriLook SDK and MegaMatcher SDK multi-biometric technology.

SentiVeillance 5.0 SDK includes Device Manager library for Microsoft Windows and Linux that allows to perform simultaneous capture from multiple cameras.

Components Microsoft Windows
(64 bit only)
(64 bit only)
 • SentiVeillance component 1 single computer license
 • Face Extractor component 1 single computer license
 • Device Manager library + +
Programming samples
 • C++ + +
 • C# +  
 • Visual Basic .NET +  
Programming tutorials
 • C + +
 • C# +  
 • Java + +
 • SentiVeillance 5.0 SDK documentation +

SentiVeillance component

The SentiVeillance Component performs real-time detection and tracking of all detected faces from live video stream. The component is able to track multiple faces simultaneously and match them with faces from internal database (i.e. a watch-list of suspects or a list of company employees). Person's gender can be optionally determined for each person in a frame.

New faces may be enrolled to the database either automatically or manually from image files. The C# and VB .NET samples from the SDK shows how to enroll new faces from image files.

SentiVeillance 5.0 components can be run on multiple PCs distributed over network and synchronize data between themselves. The C# and VB .NET samples from the SDK shows how to call the synchronization routines.

Face Extractor component

The Face Extractor creates face templates from face images. The component is intended for enrolling faces from still images into a surveillance system and provides its functionality for reasonable price

The component extracts a single face template in 1.34 seconds. The specified performance requires a PC or laptop with at least Intel Core 2 Q9400 (2.67 GHz) processor.

Face Extractor can generalize a face template from several images that include the same face to improve the template's quality.

One Face Extractor license is included with SentiVeillance 5.0 SDK. More licenses for this component can be purchased any time by SentiVeillance 5.0 SDK customers.

Device Manager library

Device Manager library works under Microsoft Windows and Linux and provides functionality for working with cameras. The library supports a range of high-resolution digital surveillance cameras and other cameras that provide DirectShow interface for Windows platform, or GStreamer interface for Linux platform.

The list of supported cameras is available below in the system requirements.

The Device Manager includes a plug-in framework that allows integrators to write plug-ins to support their cameras using the provided API. The SentiVeillance SDK documentation contains the detailed information and samples.

A video file can be also used as a data source for SentiVeillance. The input from the file is processed as coming from a virtual camera, thus the video is processed in real-time.