ACTi's video management system, NVR 3, has received new features for automated surveillance and improved user experience leading to better security and operator’s efficiency.
ACTi's video management system,
NVR 3, has received new features for automated surveillance and improved user experience leading to better security and operator’s efficiency.
Intelligent camera event - Use events from ACTi cameras with built-in analytics (in addition to IVS Server) to trigger NVR events. For example, a camera detecting loitering in the proximity of an ATM can automatically alert the operator to validate the situation and take timely action, if needed.
Event by camera’s audio - Employ the Sound Detection function of selected ACTi cameras to detect noise (such as of a broken window) and automatically trigger NVR events – start an alarm, send notification with live video to the security guard and more.
Thumbnail search - Find any incident even faster! The video footage is displayed as a grid of thumbnails, each of which can be clicked to instantly play video of the time period.
Interactive maps - Display video and event log by clicking on a camera on an interactive, Google-based map. It allows the operator not only to move the map freely in all directions but also to zoom in/out to quickly navigate between clusters of devices in different locations.
Notifications - Send text and video notifications to the security personnel instantly and reliably. Operator in the control center seeing suspicious behavior on his screen can push a notification with the camera’s live view to the smartphone of security officer in the field. Conversely, the security officer on a tour can send live video from his smartphone’s camera directly to the operator in the control room.
Easy, bandwidth-friendly camera connection - Connect the camera and NVR located in different networks easily. The camera can “push” video to the NVR, effectively eliminating the need for setting any firewall rules. It can push the video constantly, by schedule or only on event (for example, motion or face detected) to even further reduce the bandwidth and storage usage.