Machine vision · on-premise inference

Computer vision for manufacturing.
Without sending a single frame to the cloud.

Counting, defect detection and safety checks run on an edge device on your plant floor. The image is processed and discarded; what gets stored is the event, not the footage.

Proven in production

The count arrived a week late. Exactly the cycle where laying posture changes.

PROA counted eggs by hand. The number reached management when it was no longer useful for any decision, and it carried a wide deviation. A camera over the line now counts every unit and the figure is available within the shift.

Counting deviation, before
5–15%
Accuracy with vision
99.9%
Data latency, before
7 days
Latency now
same shift

What it actually does on a line

Four applications that pay for themselves in the first months. All of them run on the same edge device.

Automated counting

Units, cases, trays. Replaces manual tallies and clipboard counts that arrive late and carry error.

Defect detection

Surface flaws, misalignment, wrong fill level. Catches the defect at the station, not at the end of the line.

PPE and safety

Helmet, goggles, restricted-zone access. The system records the event, not the operator's face.

Label and code verification

Reads what actually printed and compares it against what should have printed, before the pallet ships.

Why the inference belongs on the plant floor

Every vendor in this space processes in the cloud. That choice has four consequences, and none of them are about ideology.

Latency

A reject decision at line speed cannot wait for a round trip to a datacenter.

Bandwidth

Streaming continuous video off-site costs more than the inference itself, every month.

Personal data

A camera that captures operators handles biometric data. If the frame never leaves, there is no transfer to justify.

Link outages

The plant keeps running when the connection drops. So does the inspection.

None of this makes the cloud wrong. It makes it the wrong place for this particular decision — the one that has to happen in milliseconds, next to the machine, on footage of your people and your product.

Start with one camera on one line

We connect an existing RTSP or ONVIF camera and show you the count from a real shift. No new hardware to begin.