SentiVeillance Server

SentiVeillance SDK is designed for developing software that performs biometric face identification, detects moving pedestrians or vehicles or other objects and performs automatic license plate recognition using live video streams from digital surveillance cameras. The SDK is used for passive identification – when passers-by do not make any efforts to be recognized. List of possible uses includes law enforcement, security, attendance control, visitor counting, traffic monitoring and other commercial applications. SentiVeillance technology performs face recognition, pedestrian or vehicle classification and tracking in real-time. The technology is designed to run on multi-core processors to achieve fast performance. SentiVeillance also accepts data from video files. The video files can be processed in real-time as coming from a virtual camera or can be processed at maximum speed depending on hardware resources available.

Verkada brings the ease of use that consumer security solutions provide, to the levels of scale and protection that businesses and organizations require. By building high-end hardware on an intuitive, cloud-based software platform, modern enterprises are able to run safer, smarter buildings across all of their locations. PoE cameras are online and fully operational in minutes. No NVRs or DVRs. Store up to 365 days of footage locally. Stay ahead of emerging threats with ongoing feature and security updates. Cameras send encrypted thumbnails to the cloud and stream only when actively viewed. Store clips in the cloud indefinitely and easily share archived events with key stakeholders. Bring footage across sites into one dashboard and grant secure access to your entire team. Cameras act as sensors, leveraging the latest in AI and edge computing to uncover actionable insights in real-time. Overcome common challenges associated with physical security management.