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Guide
2026-07-02
9 min read

On-Premise Video Analytics Buying Guide

DHI Safety Operations
Edge AI Architecture
Reviewed by: DHI Engineering

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

A buyer should prove the on-premise pattern in one building, dock, platform, ward, or corridor before making a portfolio decision.

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.

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