Computer vision
Checks what nobody has the hours to look at.
Inspection, surveillance, counting and measurement on image and video, running where the camera already is.
21 cases across 7 sectors
What it solves
A camera does not get tired and does not look away. That is the whole point: checking every unit, every metre, every shift, instead of a sample. The hard part is almost never the model — it is the light, the angle and what happens the day somebody moves the camera.
Where it applies
Defence
- On-premise
- Classified environment
- No route out
- Satellite and aerial imagery analysis
- Perimeter and facility surveillance
- Target identification in drone video
Logistics
- Real time
- WMS · TMS
- Camera-based warehouse stock counting
- Plate and container code reading
- Load and palletising checks
Transport
- Traceability
- Real time
- Onboard edge
- Automatic visual inspection of infrastructure
- Obstacle detection on route
- Traffic counting and flow analysis
Health & pharma
- Sensitive data
- Validation
- Traceability
- Diagnostic support from medical imaging
- Blister and packaging inspection
- Vision-driven lab automation
Energy
- Critical infrastructure
- Distributed assets
- Drone inspection of distributed assets
- Automatic thermography of assets
- Reading meters and instrumentation
Manufacturing
- Nothing stops
- Lives with what is there
- Automatic defect detection
- Visual guidance for robots
- Hazard detection at the workstation
Civil & construction
- Mountains of documentation
- Assets that last decades
- Progress tracking from imagery
- Crack and defect detection
- Hazard detection across the work area
Talk to us
Do you have a computer vision case?
Half an hour. You leave with the problem framed and an honest answer on whether AI is the way to solve it.
Talk to us