Serving United States
Smarter Surveillance

AI Threat
Detection

Computer-vision models pre-filter routine activity so trained analysts focus only on what genuinely needs a human — drastically reducing false alarms and response delays.

Overview

The smartest part of every alert is still a human

Cameras generate enormous volumes of footage — most of it routine. A staff member walking past, a delivery truck pulling up, wind moving a flag. If a person had to watch all of it live, they'd miss the real threats among the noise.

Our AI threat detection layer solves that. Computer-vision models classify what's happening in every frame: person, vehicle, motion, loitering, fence-line crossing, vehicle stopped where it shouldn't be. Only events matching your custom rules surface for analyst review.

The result: analysts see fewer events, but every event they see actually matters. False alarm rates drop by 80% or more, response times shrink, and operating costs come down.

Key Features

Computer vision that gets smarter every day

Our detection capabilities improve continuously as our analyst team labels new events.

Person & vehicle classification

Distinguish humans, vehicles, and animals — and respond differently to each.

Loitering detection

Flag people who linger in sensitive zones beyond a threshold you define.

Intrusion alerts

Geofenced detection for fence-line crossings, restricted areas, and after-hours zones.

Custom detection zones

Draw zones on each camera with different rules — entrances, perimeters, equipment yards.

False-alarm reduction

Filter out wind, animals, shadows and repeated routine activity automatically.

Continuous improvement

Models retrain monthly using events labeled by our analysts — accuracy grows over time.

How It Works

AI deployment in 7–10 days

1

Site mapping

We walk through each camera view and identify the zones, behaviors, and exclusions that matter for your business.

2

Model configuration

We deploy and tune detection models per camera — perimeter, parking, indoor, loading dock — each gets a tailored profile.

3

Calibration period

The first 7 days are spent fine-tuning thresholds to your environment — minimizing false alarms while catching real events.

4

Live AI + human coverage

AI continuously filters; analysts handle whatever surfaces. You get measurable false-alarm reductions in week one.

Built For

Sites where alarm fatigue is a real problem

Construction
Dealerships
Warehouses
Large Facilities

Cut false alarms by 80% or more

See how AI detection performs on a sample of your existing footage. We'll run a free analysis and share the results.

Request a Free Analysis