Puddle · Live overlayLiquid Leak Detection
Puddle, spray & visible-vapor detection
AI Vision Analytics
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
Computer Vision Analytics
Real-time detection trained on real industrial imagery — running at the edge.
Puddle · Live overlayPuddle, spray & visible-vapor detection
Smoke · Live overlayVisible flame, glow & smoke plume detection
Flare · Live overlayIgnition, presence & smoke verification
Alarm Verification
The reasoning layer that separates real releases from nuisance alarms before they reach an operator.
95%+ LLD AccuracyReasoning 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.
02 · Aery Device Manager
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.

Compute
GPU + CPU
Cooling
Fanless
Network
Dual-NIC
Devices
248
online
Sites
63
regions: 4
Uptime
99.97%
30d
Live Fleet
03 · Analytic Data Integration
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.








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
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.
FOV Plan
Coverage MapVisionAery field crew validating an AI deployment on a live site.
Field-testedSchedule a POC
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.
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.