Airis Dynamics
AI Vision Platform

Every camera becomes an intelligent sensor.

AIRIS::Vision turns the camera and microphone feeds you already run into real-time detection — 13 algorithms, one platform, on your own hardware.

Street camera view with AIRIS detection boxes tracking vehicles and pedestrians at a busy intersection
13 AlgorithmsOne platform, one integration
Real TimeSub-second detection at the edge
Your HardwareWorks with existing cameras and mics
Private by DesignEdge or on-premise — your data stays yours
Capabilities

Thirteen Algorithms, One Platform

Every detection capability runs on the same engine, the same feeds, and the same deployment — so adding one is a configuration change, not a new project.

Threat & Safety

Arms Detection (Knife)

Spots knives and sharp weapons in live video, then routes the clip to a person to confirm.

Fire Detection

Sees smoke before a ceiling sensor ever would, across warehouses, yards, and open sites.

Intruder Detection

Guards perimeters by zone and schedule, flagging breaches, loitering, and after-hours access.

Gunshot Detection

Confirms a shot by sound and muzzle flash, then triangulates where it came from.

Bullies Detection

Reads body language and group dynamics to catch harassment before it escalates.

Identify People

Face Recognition

Contactless identification and access control, with liveness checks that defeat photo and mask spoofing.

Person of Interest

Follows one individual across cameras, angles, and time, with watchlists and instant alerts.

Listen & Analyze

Special Words Detection

Monitors audio for your keywords across languages, using context to cut false alarms.

Intelligent Video Analysis

Turns hours of footage into anomalies, activities, crowd patterns, and business metrics.

Detect & Understand

Object Detection

Finds and tracks hundreds of object classes across crowded, changing scenes in real time.

Object Segmentation

Pixel-exact boundaries — semantic, instance, and panoptic — for precision inspection and autonomy.

Image Classification

Sorts images into your own taxonomy, from defect grades to content categories.

Image Similarity & De-duplication

Reverse image search and near-duplicate cleanup across millions of files in under a second.

In Action

The same platform, running three different jobs on three different sites.

One individual followed across three separate camera feeds with matching timestamps
Live tracking across a crowded scene
Facial recognition identifying staff passing through an office access gate
Identity verification at an access point
Operator reviewing an AI smoke detection alert on a warehouse control room video wall
Smoke caught before the sensor trips
How It Works

From Existing Feeds to a Decision

Four steps, running continuously, on the infrastructure you already own.

01

Connect

Point AIRIS at the cameras, NVRs, and microphones already on site. No new hardware.

02

Tune

We train on your footage, your object classes, your thresholds — not a generic model off a shelf.

03

Detect

Inference runs at the edge or on your own servers. Sub-second alerts, no cloud round-trip.

04

Act

Every alert arrives with the clip, the confidence score, and the evidence behind it.

Why AIRIS

Built to Work on Your Site, Not a Benchmark

Algorithm-first, not model-zoo

We build and tune the algorithm to your scene, rather than shipping a stock model and hoping it generalizes.

Human in the loop

High-stakes alerts surface evidence and confidence. Trained people make the call, always.

Private by architecture

Edge and on-premise deployment, biometric data handled to GDPR standards, retention rules set per source.

Improves in production

Live feedback retrains the models. Accuracy climbs, false alarms fall, without a re-integration.

Deploy It Where It Belongs

Edge

Runs on the camera or a local device. Lowest latency, nothing leaves the site.

Deployed across factories, hospitals, city infrastructure, and financial institutions.

See It on Your Footage

Tell us what you need to see.

Bring us the cameras, the site, and the problem. We'll show you what AIRIS::Vision detects on your own footage.