Security cameras: add agentic management paragraph (chat-based system mgmt,

provisioning, clip retrieval via cross-referenced data and facial recognition)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Author: rmdevpro

case-studies/riverside-mill-complex.html

@@ -154,6 +154,7 @@ <h2>Security cameras</h2>
     <p>The system combines new common-area cameras with the existing cameras already approved for the site. Same recording infrastructure; same review console; one archive.</p>
     <p>The recording stack runs on enterprise server infrastructure &mdash; a Dell server with redundant power and CPU, 100 TB of RAID 5+1 storage, Windows Server on Hyper-V, and Blue Iris as the recording engine with open-source integrations where useful. <b>No NVRs</b> &mdash; those fail in exactly the moment you need them.</p>
     <p>The architecture scales to over <b>500 cameras with 90 days of full retention</b>; today it runs over 200, covering every tenant in the building.</p>
+    <p>Chat-based agents manage the system, provision new equipment, and find and extract video using cross-referenced data and facial recognition. Finding the exact clips you need on a system with hundreds of cameras running 24/7 with 90-day retention is a large task &mdash; nearly effortless with agents.</p>
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