Facial Recognition On‑Premises: Controls, Audits, Accuracy

david Pinto
Nov 12, 2025
2 min read

Facial recognition can verify people (1:1) or alert on watchlists (1:many). With InteliATE it runs on‑prem and offline, so data stays inside your network. Controls include role‑based access, end‑to‑end encryption, and immutable activity logs; results flow into case workflows. Optional sources (where lawful) include permitted databases and OSINT image search. Models are trained on your data and improved through a documented evaluation‑to‑retraining lifecycle.

What on‑prem facial recognition is

Verification (1:1): “Is this person who they claim to be?”
Watchlist (1:many): alert if a face appears on an approved list.Deployed at the edge or in your data center, the system integrates with existing infrastructure, and can (where policy allows) match against permitted databases or run OSINT face search.

The controls that matter

Deployment: fully offline/on‑prem, including air‑gapped and “in‑a‑box” options.
Access: full user rights and role‑based permissions to restrict who can enroll, search, or export.
Security: end‑to‑end encryption; no external transmission by default.
Scope: toggle modules (e.g., watchlists, LPR) according to your policy and legal basis.

Audits and accountability

Every action—enrollment, search, match, export—is written to immutable logs and available to compliance reviewers. When paired with the AI case manager, clips and matches become evidence packs with chain‑of‑custody for regulators or courts.

Accuracy: how we measure and improve it

Models are trained on your data for domain accuracy. During delivery we set evaluation metrics, deploy, then feed new samples and operator feedback back into a retraining loop—models don’t stagnate. Pilot programs benchmark performance against manual review and publish error rates.

Where it’s useful (and lawful)

Airports & borders: real‑time matching at checkpoints; combine with access control and queue analytics.
Law enforcement & government: search approved repositories; package results with case timelines and reports.
Venues & campuses: banned‑visitor alerts or employee verification, with privacy controls and full audit trails.

Use only with a documented legal basis and organizational policy. The platform enforces controls; you define when and how they’re applied.

Optional sources (policy‑controlled)

Permitted databases (e.g., law‑enforcement data where authorized).
OSINT image search (upload a photo to find matches across public images).

Implementation blueprint

Define policy: purposes, sources, retention, user roles, and consent rules.
Connect your VMS: integrate with existing cameras and systems; no rip‑and‑replace.
Enroll & test: seed the reference set; run a pilot with agreed metrics.
Operate & audit: log all actions; export evidence via the case manager.
Retrain: schedule evaluation and retraining to maintain accuracy.