Neurotechnology integrates face recognition into biometric ID and object tracking surveillance system
Neurotechnology has released the SentiVeillance 5.0 software development kit (SDK), which incorporates the new VeriLook face recognition algorithm featured in MegaMatcher 9.0.
The move comes a couple months after Neurotechnology released its new VeriLook face recognition algorithm, which provides five times higher accuracy in identifying full frontal faces and 10 to 15 times higher accuracy for unconstrained facial recognition than the previous release.
SentiVeillance 5.0 works with images taken from surveillance cameras, which makes it ideal for a wide range of applications in surveillance, security and public safety.
The biometric ID and object tracking surveillance system uses the face recognition algorithm to compare and match face images against internal databases, such as authorized personnel or criminal watch lists.
As a result, a SentiVeillance-based application can trigger notifications for recognized or unrecognized faces.
“Using state of the art technology, called deep neural networks, we were able to significantly improve facial recognition accuracy, especially for unconstrained scenarios,” said Ignas Namajunas, surveillance technologies research lead for Neurotechnology.
The significantly higher accuracy for unconstrained facial identification is based on a smaller False Rejection Rate (FRR) at the same False Acceptance Rate (FAR) value.
Aside from face tracking and recognition, SentiVeillance provides real-time moving object detection; tracking and classification for people, vehicles and other object classes based on size and speed of movement; and area control via event triggering when people or objects enter, leave or stay in restricted areas.
The SentiVeillance 5.0 SDK can be purchased directly through Neurotechnology or from distributors worldwide.