Own specialists
Build, train and integrate AI inside your vision stack.
AI & machine learning
Practical AI where classical Computer Vision falls short.
When product position, appearance or quality varies too much for fixed rules, Sedeco applies AI that ships on the line, and says so when classical is enough.
When AI is the right tool
Earn the model, do not start with it
AI is not a brand badge. It is the tool for variation classical rules cannot encode.
| Signal | Approach | Implication |
|---|---|---|
| Stable, geometric defects | Classical first | Faster, cheaper, explainable |
| Cosmetic / texture / fuzzy classes | AI classification / anomaly | Sample discipline required |
| Mixed station | Classical + AI | Rules for hard facts |
| No labelled history | Anomaly / careful PoC | Honest about data debt |
How we work with AI
In-house specialists for development, training and integration, plus structural collaboration with a university of applied sciences lecturer specialised in AI and machine learning. New methods are validated, then put on machines.
Academic link
Validate new methods with applied research.
Onto the line
Edge inference that meets takt, not cloud theatre.
Integration · Feasibility · Delivery
Integration, feasibility and delivery
AI on the line means edge inference, sample discipline and a clear acceptance path, not cloud theatre.
Integration
Model result to PLC/MES; often PC-class compute beside cameras and lighting.
Feasibility
Representative samples and data quality before training, subject to feasibility testing.
Delivery
PoC, integration or full-service; classical remains the advice when it holds.
Is AI the right tool?
Bring samples. We will say when classical Computer Vision is enough, and when AI earns its place.