Eagle Eye NetworksCameras, VMS and NVR
Detection Where the Cameras Are, Not Where the Archive Is
No Eagle Eye connector is prebuilt. The connection would be to the stream, on the RTSP path that already carries Axis, Hanwha and Verkada, and Eagle Eye is one of the platforms that path has been exercised against, so an engagement scopes configuration and verification rather than development. Eagle Eye Networks is a cloud video platform managing cameras across distributed sites, and it would stay in place as the video management system. AI Live Insight would read streams alongside it.
What you can do together
- Add detection at the site without sending more video to the cloud than Eagle Eye already sends.
- Keep the clip around an event as evidence under retention and a custody record, while the cloud archive stays as it is.
- Configure per camera, so a delivery yard and a front counter differ.
- Run the analysis on site, so an alert does not wait on a round trip.
How it connects
Streams would be consumed over RTSP, from the cameras on the local network rather than from the cloud archive, each source added by address, port, stream path and credentials. Encoding would stay where it is: the existing H.264 or H.265 bitstream read as emitted, codec detected per source, so nothing is re-encoded.
The flow would be inbound only. Detections would become a timed metadata track beside each recorded segment, and the clip around an event would be filed in the library under one Recording Folder organized by camera, carrying the library's access control, retention and chain of custody. Classes, thresholds, severity, zone rules and clip length would be set per camera in the portal.
The direction matters for a cloud platform. Reading a live camera stream on the local network is a different thing from pulling footage out of Eagle Eye's archive, and an engagement would establish which cameras publish a reachable stream at each site before anything is committed. Camera settings, Eagle Eye's own analytics and alerts, and its users would stay with Eagle Eye. Because analysis reads the live stream, it would run on a server at the site rather than in a cloud region, which is what keeps an alert timely.
Eagle Eye NetworksCameras, VMS and NVR
A scenario
- ScopingThe engagement would confirm which cameras publish a reachable local stream, site by site, and what counts as left open.
- SetupA small server would be placed at each region's hub or at the larger sites, and the back-door cameras added.
- ConfigurationA zone rule with a dwell condition would cover the doorway, with the seconds kept either side set to show the delivery.
- A weekdayA door open past the threshold would raise an alert, and the clip would be filed in the library under that site's folder.
- ReviewThe operations lead would compare sites over a month from the library record, while Eagle Eye keeps serving the day-to-day viewing.
What stays where
Eagle Eye remains the video management system
Cameras, cloud recording, its own analytics and its users stay there.
The connection is to the live stream, not the archive
Footage already in Eagle Eye's cloud is not pulled across, and an engagement establishes which cameras are reachable locally.
Evidence lands in the library
Clips around events carry access control, retention and chain of custody.
Processing would run at the site
A server on the camera network is what keeps alert latency low, and it is the deployment this work is projected for.
Products and solutions
Next step
See it on your own Eagle Eye Networks instance.
We will show the connection made, the data moving and the output, then size it for your deployment.
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