Neurotechnology releases new SDK version for surveillance systems based on biometric identification and object tracking

Neurotechnology announced it has released SentiVeillance 4.0 software development kit (SDK) which provides biometric face identification and object tracking for video surveillance systems.

The new version has a new name and provides several improvements over the previous version, VeriLook Surveillance 3.1, enabling it to support a wider range of surveillance, security and public safety applications.

SentiVeillance works with live video streams from single or multiple high-resolution digital surveillance cameras to provide real-time object detection and classification. As a result, the technology can identify the biometric faces of multiple people moving in different directions.

“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.

SentiVeillance 4.0 offers a range of biometric identification capabilities which are based on the latest facial recognition engine from Neurotechnology’s MegaMatcher 6.0 product line.

The technology can match face images against internal databases, such as authorized personnel or criminal watch lists. As a result, a SentiVeillance-based application can immediately trigger a report or alert for recognized or unfamiliar faces.

Other updates 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% of the field of view, camera calibration for ground plane definition, and user pre-defined object classification based on tracked object area and speed.

SentiVeillance provides facial feature determination and age estimation by face capabilities, along with detection of emotions, smiles, closed-eyes, open-mouths, clear glasses and dark glasses.

The SDK supports a range of cameras and video sources, enabling one computer to process images from several cameras. Additionally, it provides connections between SentiVeillance units deployed on different computers, synchronizing the databases to work together in a network.

Additionally, the technology enables real-time face detection, extraction and matching by providing parallelization of facial recognition functions for improved performance on multi-core, multi-processor systems.

The SentiVeillance 4.0 SDK is now available through Neurotechnology or from distributors worldwide.

Article Topics

biometrics  |  criminal ID  |  face detection  |  facial recognition  |  identification  |  Neurotechnology  |  real-time biometrics  |  SDK  |  video surveillance