Use case

Threat detection

Detect what a security team actually cares about — weapons, fire, intruders, tailgating, perimeter breaches — with context-aware models that suppress 30× the false alarms.

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The problem

Detection that cries wolf gets muted.

Traditional analytics flag a swaying tree as a perimeter breach and a forklift as a person down. Real threats get lost in the noise — and the next time it matters, the alert is ignored.

What we hear, every week

Motion + pixel-diff analytics produce 50–200 false alarms per camera per day
Weapon and fire detection in legacy systems isn't real
Tailgating and badge-spoofing slip through static access control
Operators tune sensitivity down until detection stops working

Capabilities

What Nsight does here.

The pieces that make this use case work — built on the same edge hardware, agents, and console that power the rest of the platform.

Weapon detection

Brandished firearms and edged weapons classified in real-time, with model confidence + reasoning trace.

Fire & smoke

Early-stage flame and smoke detection across indoor and outdoor scenes — minutes before sensors trip.

Tailgating & intrusion

Two-person rule, after-hours entry, restricted-zone breach, perimeter climb — all reasoned, not just detected.

Behavioural patterns

Loitering, abandoned objects, fighting, crowd anomalies — flagged with context, not raw motion.

How a threat is handled

Detect, verify, classify, route.

01
<2s
Detect
Edge models watch every stream for the threats you care about — continuously, locally.
02
Verify
Cross-check against rules, prior events, and scene context. Suppress nuisance.
03
Classify
P0 (active threat) → P3 (advisory). Severity drives the response path.
04
Route
P0 hits the right phone in <3s. Lower priorities flow to the right queue.

By the numbers

What teams running Threat detection on Nsight see.

<2s

Detection latency

99.5%

Threat precision

30×

Fewer false alarms

24/7

Always watching

Threats reach humans fast

P0 alerts arrive with evidence, context, and a one-tap response — in seconds.

Operators trust the alert

When 30× the noise is gone, people actually look at the screen when it pings.

Every detection is auditable

Reasoning trace + evidence clip means you can defend the call after the fact.

Best for

Who lives in this use case.

Teams who get the most out of threat detection typically operate in environments where coverage, speed, and an audit trail all matter at the same time.

K-12 & higher edHealthcare facilitiesCritical infrastructureRetail & QSR

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