Connect your cameras
Point Relay at the streams you already record. No new hardware and nothing to install on the cameras.
Relay AI reads the cameras you already have, frame by frame. It sees objects, understands how they relate, and flags every issue with the evidence. In real time, on your own servers.
No new cameras. No retraining. No facial recognition.
Every square is a camera feed. Lit squares are being read by Relay: detecting, tracking and relating objects, frame by frame. Amber means a rule was broken.
The pattern is Conway’s Game of Life, mirrored, one generation every 0.7 seconds.
How it works
Point Relay at the streams you already record. No new hardware and nothing to install on the cameras.
Describe it in plain words, like “every bottle needs a cap”. No labeling, no retraining.
The frame, the boxes and the timestamp. Clear it, assign it or export it.
Live demos
One screen for every camera. Watch detections and relations live, and clear flags as they come in, with the frame that proves each one.
Name it and Relay finds it. Type “bottle, bottle cap” and every match is boxed and scored, live, with no training run.
Not just objects. How they relate: a hairnet on a worker, a cap on a bottle, a pallet on the dock.
Every object keeps its ID from frame to frame, with a mask and a motion trail, so Relay knows what moved, where and when.
Write the rule in plain words. Relay checks every frame and raises the flag, with the evidence, wherever your team works.
Analytics
Every flag is attributable: to a site, a camera, a rule and a moment in time, with the frame that proves it. See where problems start, and whether they stop.
Last 14 days, by day
Cameras ranked by flags
| # | Camera | Flags | Cleared |
|---|
Sample data for illustration
Private by design
Relay runs on your own hardware or private cloud, next to the cameras. It looks for hairnets, hard hats and pallets, never for who people are.
hairnetglovesFaces are never processed
PPE missingUse cases
Teams hand Relay the questions they used to answer by walking the floor, then see exactly what changed.
“Is there a cap on every bottle, on every line, all shift?”
Relay: Every bottle on Line 2 is capped except one, at 04:12:33. Flag raised, evidence saved.

new cameras needed. Relay reads the streams you already record.
Setup“Is everyone at Station 4 wearing a hairnet and gloves?”

retraining to add a rule. Describe it in plain words.
Rules“Is anything blocking the dock door, and where did that pallet go?”
Relay: The door is clear. Pallets #3 and #4 are on the dock, and forklift #1 is moving beside them.

every camera, every shift. Every frame checked, not sampled.
CoverageFAQs
Relay is vision AI for operations. It reads your camera feeds frame by frame, detects objects, understands how they relate (a cap on a bottle, a hairnet on a worker, a pallet on the dock) and flags every issue with the evidence, in real time.
No. Relay works with the cameras you already have and the streams you already record.
In plain words. Describe the object or the rule, for example “every bottle needs a cap” or “everyone on site wears a hard hat”. There is no labeling and no retraining.
No. Relay looks for objects and how they relate, like hairnets, gloves, hard hats and hi-vis vests. It does not identify faces or people.
On your own servers or private cloud, next to the cameras. Video is processed where it is recorded.
The frame, the boxes, the rule that was broken, the camera and the time. Flags can be cleared, assigned or exported as CSV or JSON to your ERP or WMS.
Anywhere cameras watch work: manufacturing and food lines, warehouses and loading docks, retail shelves and construction sites.
The videos are licensed stock footage processed by Relay for illustration. Dashboard figures are sample data. Nothing on this page describes a specific customer.
Relay AI is built by Aether AI. Book a demo through the Aether AI contact page and the team will walk you through it on your own footage.