Software development kit supports streaming for face recognition

A new software development ki (SDK) from Neurotechnology for biometric face identification uses live video streams from single or multiple high-resolution digital surveillance cameras.

Neurotechnology releases new embedded SDKs for developing surveillance systems
Neurotechnology releases new embedded SDKs for developing surveillance systems

A new software development kit (SDK) for biometric face identification uses live video streams from single or multiple high-resolution digital surveillance cameras.

VeriLook Surveillance 2.0 from Neurotechnology (Vilnius, Lithuania) provides real-time identification of faces and can be used in a range of surveillance systems for retail and commercial areas, entrance monitoring and counting, automated time-attendance systems, law enforcement applications, and transportation security.

It incorporates the VeriLook 5.1 face recognition algorithm, which enables faces to be detected with up to 45 degrees out-of-plane rotation in yaw angle.

A new face tracking algorithm uses motion prediction models to re-localize faces that have undergone full occlusion, such as when a subject has been fully obstructed by a wall and emerged on the other side.

After tracking, images of faces images can be matched against internal databases, such as criminal watch lists or authorized personnel.

The SDK is available through Neurotechnology or from distributors worldwide.

-- By Dave Wilson, Senior Editor, Vision Systems Design

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