Developing Solutions Around the Measurement Task
Our development work starts with a question: what information is needed from the spray?
The answer guides the choice of optical configuration, data acquisition and evaluation method. Some tasks require measurements of individual droplets; others benefit from analysing longer signal sequences.
Classical and AI Based Evaluation
Classical methods use defined signal features and physical relationships to determine measurement results. AI-based approaches offer additional ways to investigate complex patterns in the recorded data.
For example, ParticleTensorAI processes signal sequences as multidimensional data structures. This approach supports research into spray classification, process changes and material-related properties. The available results depend on the measurement setup, data and selected model.
From Prototype to Application
We can adapt the measurement hardware and evaluation software to the requirements of a project. This may involve a different probe arrangement, modified interfaces or an application-specific analysis workflow.
The development process connects the required result with a suitable measurement configuration and experimental evaluation.