Neurotechnology released the SentiVeillance 6.0 software development kit (SDK), which provides improved facial recognition using up to 10 surveillance, security and public safety cameras on a single computer. The new version uses deep neural-network-based facial detection and recognition algorithms to improve accuracy, and it utilizes a Graphing Processing Unit (GPU) for enhanced speed. Also, now users can more quickly and easily adjust the tradeoff between speed and accuracy as needed for different applications.
"We developed SentiVeillance 6.0 as a self-adapting system based on deep neural networks that were trained on a larger quantity of data,” said Ignas Namajunas, surveillance technologies research lead for Neurotechnology. “This ensures better generalization for a variety of conditions. Additionally, by making use of the GPU processing capabilities, we were able to improve the processing speed significantly."
Because SentiVeillance 6.0 can process information from up to 10 surveillance cameras with one GPU, it provides faster, easier, more accurate identification of faces against watch lists, making it suitable for a wide range of surveillance applications.
As with previous versions, the new SentiVeillance also provides real-time moving object detection; tracking and classification for pedestrians, vehicles and other predefined object classes based on size and speed of movement; and area control that triggers “events” when people or objects enter, leave or stay in restricted areas.
The SentiVeillance 6.0 SDK is available through Neurotechnology or from distributors worldwide. For more information and trial version, go to: www.neurotechnology.com. As with all Neurotechnology products, the latest version is available as a free upgrade to existing SentiVeillance customers.
