On-Premise Video Analytics Buying Guide

Who this is for

For IT, security, legal, and operations teams deciding whether camera analytics should run on site or in the cloud.

The buyer question

What should a buyer verify before choosing on-premise video analytics?

Map video movement first

The first architecture question is where raw video travels. If raw streams leave the site, the legal, privacy, network, and labor review changes. If inference runs locally, the review can focus on event metadata and approved clip export.

Check local operating requirements

Local analytics still need stream access, edge compute, power, network placement, VMS routing, and support ownership. A strong buying process confirms these requirements before asking for model claims.

Use one site as the proof point

Pick one building, dock, platform, ward, or corridor and prove the whole path end to end: stream access, local inference, event routing, and the privacy review sign-off. A single proven site gives procurement and legal a real reference instead of a vendor's architecture diagram.

How to use this with DHI

Use this page as a pre-pilot checklist. Pick one zone, one event type, one alert owner, and one review cadence. If the current cameras cannot support the workflow, fix the camera plan before expanding the deployment.