Home > Biometric Software Kits (SDK's) > Face Rec. Development Kits >

SentiVeillance SDK
SentiVeillance SDK


 
Our Price: $937.00

Availability: Same Day Shipping
Product Code: 100322
Qty:

Description Technical Specs
 

SentiVeillance SDK

Face/Object identification for video surveillance applications

Download the SentiVeillance SDK brochure as a .pdf document

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.

  • Real time face detection, template extraction and matching against watchlist database.
  • Simultaneous tracking of multiple faces or objects in live video.
  • Advanced moving objects detection and classification for pedestrians and vehicle tracking.
  • Gender classification, age evaluation, detection of face expression, glasses and facial hair.
  • Automatic operation logs and reports events, as well as enrolls new faces from video stream and add them to watchlist automatically.
  • Large surveillance systems support by connecting up to 10 cameras to a single computer and quick synchronization between networked computers.
  • Available as multiplatform SDK that supports multiple programming languages.
  • Ready-to-use server for integration into video management systems (VMS) optionally available.
  • Reasonable prices, flexible licensing and free customer support.


Watch the SentiVeillance 6.0 biometric face recognition technology demonstration video on YouTube

SDK Contents

SentiVeillance 6.0 SDK is based on the SentiVeillance 6.0 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 6.0 SDK includes Device Manager library for Microsoft Windows and Linux that allows to perform simultaneous capture from multiple cameras.

Components Microsoft Windows Linux
• SentiVeillance 2-camera component 1 single computer license
• SentiVeillance 10-camera component optionally available
• Face Extractor component 1 single computer license
• Device Manager library + +
Programming tutorials
• C++ + +
• C# +
• Visual Basic .NET +
Programming tutorials
• C + +
• C# +
• Java + +
Documentation
• SentiVeillance 6.0 SDK documentation +

SentiVeillance 2-camera component

The SentiVeillance 2-camera component is designed for using in small-scale video surveillance systems with several cameras. The component performs real-time detection and tracking of all detected faces from up to 2 live video streams . The component installations can be run on several computers distributed over network and synchronize data between themselves.

The SentiVeillance 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). New faces may be enrolled to the database either automatically or manually from image fi les. Person’s gender can be optionally determined for each person in a frame

The C# and VB .NET samples from the SDK shows how to use the component.

One SentiVeillance 2-camera component license is included with SentiVeillance 6.0 SDK. More licenses for this component can be purchased any time by SentiVeillance 6.0 SDK customers.

SentiVeillance 10-camera component

The SentiVeillance 10-camera component is designed for using in large surveillance systems with multiple cameras and has the same functionality as the SentiVeillance 2-camera component. It supports input from up to 10 live video streams on the same PC or server. The component installations can be run on several computers distributed over network and synchronize data between themselves.

The SentiVeillance 10-camera component licenses can be purchased any time by SentiVeillance 6.0 SDK customers.

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 specifi ed 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 6.0 SDK. More licenses for this component can be purchased any time by SentiVeillance 6.0 SDK customers.

Device Manager library

Device Manager library works under Microsoft Windows and Linux and provides functionality for simultaneous capture from multiple 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” section.

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.

SentiVeillance 6.0 Technology Capabilities

  • Real time performance. SentiVeillance technology performs face, pedestrian or object recognition and tracking in real time. The technology is designed to run on multi-core processors to achieve fast performance.
  • Two algorithms for surveillance systems. Depending on the surveillance system design, one of these algorithms may be used:
    1. Biometric face recognition algorithm is based on deep neural networks and provides these capabilities for surveillance systems:
      • Multiple face detection, features extraction and template matching with the internal database in real time.
      • Facial identification reliability enables using large watchlist databases
      • Face tracking is performed in all successive frames from the video source until they disappear from camera field of view. The face tracking algorithm uses dynamic face and motion prediction models that make it robust to occlusions like other objects or even other faces. The algorithm is able to continue tracking a face even when it re-appears after being fully covered by occlusions (like walls, furniture, posters etc).
      • Gender classification (optional) for each person in the frame.
      • Age determination (optional) for each person in the frame.
      • Smile, open-mouth, closed-eyes, glasses, dark-glasses, beard and mustache attributes detection (configurable).
    2. Motion detection and tracking algorithm performs advanced detection of moving objects in the scene, their classification and tracking until they disappear. These features are available for surveillance systems:
      • Object classification. After calibration SentiVeillance allows to perform object classification based on the size and movement speed. For example, users can configure a surveillance system to determine if a tracked object is a vehicle, a single pedestrian or group of pedestrians. See video below.
      • Restricted areas control. SentiVeillance algorithm can detect and report if people or objects enter, leave or stay in restricted areas. The events are triggered when people or objects cross pre-defined lines or enter polygon-shaped areas.
      • Tolerance to weather conditions. The algorithm ignores rain and snow, as well as trees and bushes, which are swayed by wind.
  • Automatic operation. A system based on SentiVeillance 6.0 SDK is able to log face, pedestrian or object appearance, disappearance and tracking. The detected faces are matched against the watchlist in the internal database and recognized faces are immediately reported to the system. The system uses face tracking for automatic enrollment from video stream and adding new facial templates to watch list on the fly.
  • Large surveillance systems support. SentiVeillance 6.0 SDK allows to integrate its technology into surveillance systems with multiple cameras and multiple data-processing nodes. A single computer can process video data from up to 10 cameras simultaneously. Multiple computers with running SentiVeillance software can quickly synchronize biometric and surveillance data between each other over the network. The synchronization can be customized as the SDK includes sample source code for using the communication and synchronization processes.
  • Video files processing. SentiVeillance also accepts data from video files. The video files are processed in real time as coming from a virtual camera, therefore an hour-long video will be processed in one hour.

The list of supported cameras is available below in the “System Requirements” section.

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.

Watch the vehicle and pedestrians tracking video on YouTube

Watch the pedestrians and restricted zone tracking video on YouTube



Accessories for this product...
Volume License Manager Key
Our Price: $23.00

Add
Volume License Manager Key

Share your knowledge of this product with other customers... Be the first to write a review