HOW IT WORKS

Intelligence from video. Decisions by people.

Our architecture is designed to progress from a browser demonstration to distributed edge inference and centralized incident operations.

Architecture diagram: camera input, AI processing, rules, incidents, authorized response
STEP 01

Camera input

In the working demo, video is captured by your laptop. Planned integration adds authenticated IP camera and RTSP inputs.

STEP 02

AI recognition

Detection models identify objects and candidate conditions. Experimental models must be validated before real-world reliance.

STEP 03

Rules & alerts

Apply polygons, time windows, dwell rules and human-verification requirements to create actionable events.

STEP 04

Evidence & response

Incident timelines enable review; enterprise rollout will add access roles, central evidence management and secure notifications.

STEP 05

Deployment models

Begin with a software pilot, then plan edge-assisted inference, private network deployments or hybrid architecture.

STEP 06

Continuous measurement

Evaluate accuracy, latency, camera health and false-alert rates to determine production readiness.

LET'S DESIGN YOUR PILOT

Build smarter security for your location.

Tell us what you want to monitor. We will discuss feasibility, camera compatibility, privacy, pilot scope and pricing.

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