Count, inspect and track
from photos and video
Models that watch shelves, production lines and yards, and turn what they see into counts, alerts and reports your team can act on.
- Typical
- 8–12 weeks
- Pricing
- Fixed price per phase
- Group
- AI and automation
What you get
Computer vision
Count, inspect and track from photos and video: shelf audits, defect checks, yard and footfall monitoring.
Data collection
Photos or video gathered from your real conditions: lighting, angles, clutter and all.
The model
Trained and tested on your images, with accuracy reported per product or defect type.
Edge or cloud
Running on cameras and small devices on site, or in the cloud, whichever suits the network.
Alerts and dashboards
Results sent where people work: a dashboard, a message or a record in your system.
Where it fits
Good places
to start
- 01Shelf audits
Gaps, wrong placements and price labels checked from photos taken on the shop floor.
- 02Defect checks
Faults spotted on the line before products are packed.
- 03Yard and footfall monitoring
Vehicles, pallets and people counted without manual tallies.
How it runs
Small steps,
shown every week
- 1–2 weeksDiscover
We map how the work happens today and agree what done looks like.
- 2–4 weeksPrototype
The riskiest part first, on your real data, while change is cheap.
- 2-week sprintsBuild
Weekly demos and a shared backlog you can reorder at any time.
- OngoingRun
Monitoring, agreed response times and a monthly review of usage.
Questions
Before you start
How many images do we need?
Can it run without a good internet connection?
Who owns what you build?
Computer vision
Tell us what
you need.
A 30-minute call with the people who would do the work, then a written proposal.