Kuava service team is a group of data analysis, simulation and software engineering professionals. The team has delivered service projects to clients operating in various industries, eg. machine manufacturing, process automation, pulp & paper, health care and consumer products.
Service process
The service process phases are the following
- Pre-study – Test feasibility of ideas and new innovations with real customer data, usually carried out in one to four weeks.
- Simulation and modelling – Detailed analysis and solution carried out with agile methodology
- Knowledge transfer and implementation – Reporting, customer training, possible target hardware implementation
- Support and partnership – software and expertise support along with data archival supporting continuous operation of the results
Services by category
Audio simulations
Noise and vibration
Intelligent Machines
Data Intelligence
Some examples of the Kuava service team projects:
- Create a framework for running large scale simulations in Amazon EC2 cloud infrastructure
- Utilize consumer level GPUs to speed up mechanical FEM calculation
- Develop an sensor error resistant algorithm for target measurements
- Use advanced image processing and segmentation in process quality analysis
- Develop a browser based system for Big Data transfer, analysis and visualization
- Simulate and optimize continuous production process in macro scale from start to finish
- Use camera systems and single cameras to create simulation geometries and detect geometry deviations
- Develop a software with pattern recognition to recognize production process status from multiple time series and report product quality
- Simulation and visualization of noise and vibration in complex structures