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Neurotechnology Releases New Version of SentiVeillance

Neurotechnology Releases New Version of SentiVeillance Homeland Security TodayLithuania-based biometric identification firm Neurotechnology announced the availability of the SentiVeillance 4.0 software development kit (SDK), which provides biometric face identification and object tracking for video surveillance systems.

The technology performs biometric face identification and detects moving pedestrians or objects in real-time using live video streams from single or multiple high-resolution digital surveillance cameras.

It includes adjustable motion sensitivity for improved tracking of moving objects and detects if a person or object (such as a car) is crossing a line or entering or leaving a predefined boundary area. This data can be used by software programs to trigger alarms or send alerts to law enforcement or security personnel.

SentiVeillance 4.0 SDK is an updated version of its previous software, VeriLook Surveillance 3.1. The new enhancements make it suitable for use in a wider range of surveillance, security and public safety applications.

“The ability to create custom object classes, along with improved tracking of moving objects, gives the new SentiVeillance 4.0 SDK more flexibility to be applied in a wide range of surveillance tasks,” said Dr. Raimond Laptik, surveillance research lead for Neurotechnology.

Updates in SentiVeillance SDK 4.0 include:

  • Faster face detection and tracking;
  • Improved facial recognition;
  • Enhanced pedestrian detection and motion tracing;
  • Improved tracking of moving objects with adjustable motion sensitivity;
  • Better motion handling for objects or people that are very close to the camera and take up more than 20 percent of the field of view;
  • Camera calibration for ground plane definition; and
  • User pre-defined object classification based on tracked object area and speed.

The addition of camera calibration for ground plane definition enables the SDK to calculate the area and speed of moving objects and allows users to create custom object classes, such as pedestrians, groups of people or vehicles, based on these parameters. This enables SentiVeillance 4.0 to detect when people or objects enter zones or cross pre-defined boundaries in the wrong direction, making the SDK suitable for use in transportation safety applications, such as systems that set off alarms when someone gets too close to train tracks or when cars are about to make a wrong turn onto a one-way street.

The updates are based on the latest facial recognition engine from Neurotechnology’s MegaMatcher 6.0 product line. SentiVeillance can matchface images against internal databases, such as authorized personnel or criminal watch lists, after which a SentiVeillance-based application can immediately trigger a report or alert for recognized (or un-recognized) faces.

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The Government Technology & Services Coalition's Homeland Security Today (HSToday) is the premier news and information resource for the homeland security community, dedicated to elevating the discussions and insights that can support a safe and secure nation. A non-profit magazine and media platform, HSToday provides readers with the whole story, placing facts and comments in context to inform debate and drive realistic solutions to some of the nation’s most vexing security challenges.

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