Neurotechnology adds biometric enhancements and new features to live video analysis software

Neurotechnology has announced the release of its new server video analytics products with algorithms for facial recognition, vehicle-human classification and tracking, and automatic license plate recognition.

The SentiVeillance 7.0 SDK and end-user oriented SentiVeillance Server solution add multiple enhancements to the product line’s biometric face recognition algorithms, the company says, are all modes are designed to function without any particular effort by users, making them appropriate for a wide range of applications. SentiVeillance delivers analysis live in real-time, with deep neural network algorithms providing a high degree of accuracy, according to the announcement.

“This release brings a wealth of new features,” says Vytautas Pranckenas, SentiVeillance product lead for Neurotechnology. “Most of the new additions come by way of listening to our customers and developing what best suits their needs. We are very grateful for their continuous feedback and support.”

Neurotechnology says the reliability of SentiVeillance’s facial identification algorithm makes it effective for both identifying people from and adding new faces from video streams to large watch-list databases. It continues tracking individuals who move behind objects, can perform gender classification, age evaluation, and facial expression identification, and detect attributes such as sunglasses or facial hair. The software’s tracking capabilities include estimation of predominant paint color for vehicles and clothing color for people, as well as what direction they are moving in.

SentiVeillance Server is available for use with existing video management systems including Milestone and Luxriot Evo.

Neurotechnology also recently launched a new version of its MegaMatcher flagship biometric line.

Article Topics

biometrics  |  facial recognition  |  Neurotechnology  |  SDK  |  video analytics