IP cameras are easy to deploy. Paying attention to them isn’t.
On a site with dozens of cameras, a helmet miss, restricted-area entry, or fall can last a few seconds. Most footage is noise. The real job isn’t recording everything—it's surfacing the few moments that need a human.
That’s where Ant Media Server + AIVision comes in.
Cameras ingest into AMS (WebRTC / HLS / LL-HLS, recording, scale). AIVision samples frames from those live streams and asks a vision model things like:
> “Is anyone not wearing a safety helmet?”
No need to analyze 30 fps. A frame every few seconds is often enough. Results are attached to the stream and timestamp so your app can alert and highlight the right camera.
It can also stay on-prem—video doesn’t have to leave your network for AI.
The same pattern works for construction, factories, warehouses, retail, and security: PPE, smoke/fire, intrusion, queues, and more.
Full deep dive (architecture, on-prem setup, use cases):
👉 From IP Cameras to AI Video Surveillance
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