
Physical world · Edge AI
Today they record and somebody reviews the footage later, if there's time. With Edge AI each camera becomes a decision point while things are happening.
Most agencies wire a model up to WhatsApp and call it AI. We take it out of the chat. These are vision models running at the edge, next to the camera and off the cloud, to count, inspect and watch what nobody can measure today.
The installation doesn't change. The cameras you already have are the ones that start deciding.
Artificial intelligence models running right where things happen, wired to the cameras you already have installed. They don't depend on the cloud to decide in the moment.
What happens when that intelligence leaves the screen and starts operating in the physical world of the business. Your floor, your aisles, your people, your equipment.
This is not a render. It is our own clip with a segmentation model running over it: what you see painted blue is what the model is separating from the background, frame by frame.
Our own video, shot in Guadalajara with the licence plates blurred before publishing. The masks are the real output of a segmentation model (YOLOv8-seg) over that same clip: 45 sampled frames, seven classes. Not one figure in this section was written by hand.
If your business happens in a physical place and that place already has cameras, it applies. What changes is what you ask them to detect.
Quality control and plant safety, in real time.
Site progress and worker safety, without walking every area.
Intrusion detection and access control, 24/7.
Customer flow, shop floor and inventory under control.
Goods movement, forklifts and loading bays.
Access control, hygiene and patient flow.
Kitchen hygiene and dining room flow, without relying on somebody checking.
Counting available spaces and vehicle security on the lot.