Quality control
Compare computer vision with the current inspection, on your batches.
← All divisionsdriven.
driven.
Where the algorithm meets the machine.
We apply images, data and automation to the monitoring of products, machines and industrial processes.
What we do
Vision and inspection
We define samples, acquisition conditions and criteria for evaluating the differences to recognise.Process data
We examine available signals to build indicators and identify anomalies that need investigation.Integration
We assess interfaces, timing and machine constraints before connecting a system to the process.An example
Analyse product images to recognise differences and measure errors under actual production-line conditions.
Illustrative scenarioStart from your control point
Which point on the line do you want to start from?
Choose the problem to focus on. The first conversation defines scope and constraints; it does not offer a ready-made solution.
Downtime and maintenance
Read the available signals and understand which downtime is worth measuring.
Line integration
Verify the scope across machines, PLCs and the AI system before going further.
Scope and deliverables
- Feasibility trial on agreed samples
- Measurements under test conditions
- Integration and acceptance-test specifications
Tell us about the process you want to improve: we will define the first step together.