Behavioral intelligence

Detecting a person is easy. Understanding their behavior changes everything.

Previzion understands how people move, interact and change over time — turning ordinary camera footage into real-time behavioral intelligence.

See it in action
Previzion wall view: six camera feeds, each carrying a behavioral state, with the escalating feed promoted

01 — See

Behavior is a pattern, not a frame.

Courtyard camera with two people boxed and labelled only as persons
PERSON
PERSON

Conventional video AI

Both boxes are correct. Neither is useful. Object detection can tell you a person is present — it cannot tell you that this is about to become a fight.

The same frame read as behavior: movement, proximity and orientation between two subjects
P-42
P-57
approach velocity ↑ interpersonal distance ↓ body orientation converging path interception

Previzion

The same frame, read as behavior: how they are moving, how the space between them is changing, where those paths are about to meet.

The distinction

Objects exist in frames. Behavior unfolds over time.

02 — Understand

Previzion understands the pattern as it unfolds.

Ordinary activity does not become risk in a single frame. It escalates — and each step is observable.

PERSON → MOVEMENT → INTERACTION → ESCALATION → POSSIBLE AGGRESSION

03 — Trust

One signal doesn’t make an incident.

Previzion continuously weighs supporting and contradicting behavioral evidence before escalating. Signals accumulate, contradict and decay — and most of them never become an alert.

10:12:08  BAY 3 LOADING DOCK

WATCHING → BASELINE

Evidence decayed. No incident opened.

09:58:30  SCIENCE WING

WATCHING → BASELINE

Contradicted by crowd pattern. No incident opened.

41

signals in a day that did not become incidents.

5

states, used identically on a courtyard, a loading dock and a gym corridor. No per-camera rules.

0

alerts sent for the two above that stood down on their own.

Previzion incident view: one camera, tracked subjects, and the timestamped evidence that moved the state to Confirming

Illustrative. Thresholds, behavioral ontology and confirmation logic are not shown.

04 — Coverage

What Previzion detects.

Five behavioral classes, one model, every camera. Each one is read the same way — evidence gathered over seconds, weighed, and escalated only when it holds up.

Five camera panels showing aggression, medical, weapon, trespass and loitering detections, each in a confirming state

Aggression

Posture, approach velocity and converging paths — before contact.

Medical

Falls and person-down events detected on impact, timestamped and escalated.

Weapon

Brandished weapons classified with location handed straight to responders.

Trespass

Tailgating, restricted-zone entry and after-hours presence across every building.

Loitering

Dwell and grouping in zones where it matters, measured against the baseline for that space.

Same model, same pricing, every class — no per-detection licensing.

04 — Act

From behavior to action — while there’s still time to act.

Running on the cameras a building already has. Detection to dispatched alert in under three seconds.

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