Here the analytics are not an add-on, they are the argument: a wide catalogue of detectors on the server —zones, crossings, loitering, object left or removed, people counting, occupancy, vehicles and number plates, smoke and fire in some versions— and forensic search, which consists of asking the archive about what happened and not about the time.
What can be added: the manufacturer's own by modules, the analytics of whatever good cameras there are and whatever is integrated through the programming interface. And every thing that is added comes back to the same place: machine is needed.
The ceiling, which with a catalogue this size has to be said more plainly: these are detectors. They detect defined patterns and they need somebody to tune them for that camera, that light and that scene. They work very well on the well-bounded —a zone, a line, a count— and they fall short when the question is interpretative: whether what is going on there is normal or not, with three things at once. No number of detectors reaches that, and promising it is what gets the alerts switched off a month later.
And the declaration we owe you: in the same house there is IRIS Neural, the NVMS from Infinity Neural —the other company in the group, our own product, and we say so before recommending anything—. On many installations they live together: the VMS governs cameras, recording and retention, and IRIS brings the understanding of the scene, which is the interpretative question we have just talked about. With an open platform on your own servers the coexistence is technical and without surprises: both parts look at the same streams, without duplicating cameras and without taking video out of the installation.