VisionAery

    AI Vision Analytics

    Industrial camera analytics that run at the edge

    VisionAery turns the cameras already on your sites into real-time industrial camera analytics — liquid leak detection, fire & smoke detection, and flare monitoring — running on edge GPU hardware at the site and feeding your existing VMS and SCADA through the same alarming paths as third-party analytics.

    A Twin Eagle Solutions company — backed by 25+ years of industrial field, network, and camera deployments.

    01 · VisionAery Analytics

    Edge AI built for industry

    Computer Vision Analytics

    Real-time detection trained on real industrial imagery — running at the edge.

    Alarm Verification

    The reasoning layer that separates real releases from nuisance alarms before they reach an operator.

    AVA LLD, VisionAery's Alarm Verification Agent for Liquid Leak Detection — comparing a raw camera frame against an AI-detected liquid-leak overlay of an industrial site
    95%+ LLD Accuracy

    AVA LLD — Alarm Verification Agent for Liquid Leak Detection

    Reasoning that tells a real leak from a rain puddle

    AVA LLD is the Liquid Leak Detection build of AVA, our Alarm Verification Agent. It reasons about every alarm the analytic raises and decides whether it's a true release, a false alarm, or a nuisance — the rain puddles and old stains that look just like the real thing. Deployed correctly, it raises Liquid Leak Detection accuracy to 95%+ in alarm detections, so operators stop chasing noise and real leaks stop getting buried. AVA is purpose-built for Liquid Leak Detection today, with more analytics on the roadmap.

    True-positive vs. nuisanceReasoning over context95%+ LLD accuracyOn-prem · edge-fit
    Learn more about AVA

    02 · Aery Device Manager

    Your fleet. Your console.
    Your rules.

    Edge AI is only useful if you can actually run it across a fleet. VisionAery ships a management plane that pushes model and config updates to one site, one region, or every device at once — staged, versioned, and rollback-ready. The whole control plane runs on hardware you own, behind your firewall.

    Online · Reporting
    Edge Hardware
    VisionAery fanless industrial edge server — heatsink-cooled, dual-NIC, USB 3.0, terminal-block power

    Compute

    GPU + CPU

    Cooling

    Fanless

    Network

    Dual-NIC

    visionaery / fleet
    On-Prem

    Devices

    248

    online

    Sites

    63

    regions: 4

    Uptime

    99.97%

    30d

    Live Fleet

    Eagle Ford · Pad 14-Av2.4.1synced 2m
    Permian · Tank Battery 7v2.4.1synced 3m
    DJ Basin · Compressor 3v2.4.0update pending
    Bakken · SWD-22v2.4.1synced 1m
    Haynesville · Pad 9v2.4.1synced 4m
    Illustrative · VisionAery Fleet ConsoleAll regions healthy
    01

    Push models & configs fleet-wide

    02

    Enable & tune analytics per camera

    03

    Runs on hardware you own

    04

    Live device health & OTA updates

    03 · Analytic Data Integration

    In-house experts wire analytics into your VMS and SCADA

    Every VisionAery analytic pushes alarms, overlays, and event clips into the video-management and control systems you already operate — keep the same operator workflows, user permissions, and retention policies you have today.

    VMS Support

    Alarms, overlays & searchable bookmarks
    Wisenet WAVE (Hanwha) logo
    Network Optix Nx Witness logo
    Digital Watchdog Spectrum logo
    Milestone XProtect logo
    Axis Camera Station logo
    Genetec Security Center logo

    SCADA Support

    Telemetry & alarm payloads delivered natively over MQTT
    Ignition logo
    CygNet logo

    The VisionAery app speaks MQTT natively for telemetry and alarm payload data. For older systems that don't yet accept MQTT, we ship a prebuilt MQTT → Modbus TCP converter so those payloads land in your existing control stack without a rebuild.

    04 · Site Survey & System Design — visualized

    Site design matters as much as the analytic itself

    The best analytic in the world can't fix a camera pointed at the wrong thing. Every VisionAery deployment starts with an aerial site survey and an FOV-overlay design — each colored cone is a planned camera with the lens, height, and aim required to cover what the analytics need to see, with no blind spots and no wasted pixels.

    Multi-camera FOV plan — processing facility, tank battery, and outbuildingFOV Plan
    Multi-camera FOV plan — processing facility, tank battery, and outbuilding
    Tank-battery & loading-rack camera coverage — overlapping FOV conesCoverage Map
    Tank-battery & loading-rack camera coverage — overlapping FOV cones

    VisionAery field crew validating an AI deployment on a live site.

    Field-tested

    Schedule a POC

    Prove it on your sites — before you commit

    A VisionAery field crew comes to a representative pad of yours, stands up the analytics on existing or temporary cameras, and runs them against your real scenes — your equipment, your lighting, your weather, your operating cadence. You see the detections and the alarm path end-to-end before any commitment.

    • On-pad camera survey and AOI selection by a VisionAery engineer
    • Live VisionAery inference on your actual scenes
    • VMS bookmarks + SCADA alarm preview wired into your existing systems
    • POC report with detection samples, false-positive notes, and a deployment plan

    Frequently asked questions about VisionAery

    See how VisionAery performs on your sites

    Try the live Liquid Leak Detection, Fire & Smoke, and Flare Monitoring demos against your own footage — or talk through a full deployment with our team.