Automate review of photos and video

A vision pipeline sized to the hardware you have, thresholds set where a miss is expensive, and a human review queue for everything the model is not sure about.

The problem

Staff manually review images or footage (for damage, compliance, hazards or identification) and it does not scale with volume.

How we approach it

A vision pipeline sized to the hardware you have, thresholds set where a miss is expensive, and a human review queue for everything the model is not sure about.

What changes

The routine cases handled automatically, the ambiguous ones escalated, and a measured error rate rather than a vendor claim.

The service this falls under

Computer vision

Detection, tracking, recognition and OCR, running on your hardware.

A working prototype on your own footage in 1 to 3 days. Getting accuracy where a miss is expensive, and deploying to real hardware, runs weeks to months.

Automation and integration

Connecting the systems you already pay for, and removing the retyping.

1 to 5 days for most automations. A system that has to reach into several other systems, some without a usable API, runs weeks.

Industries where this comes up

Trades and field services

Scheduling, job sheets, photo evidence, stock, invoicing, and a site that turns a search into a phone call.

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