Using machine-learning algorithms, we measure, record, and analyze the sound and vibration signal. We get to know the target system, form a hypothesis, if necessary, make field measurements. The end product of our assignment can be just software that is fully integrated into the customer’s system for new functionality or a new physical product with software, sensor technology, and user interface.
Customer benefits
- The customer receives more information about the state of the process or machine through sound and vibration, which improves productivity and safety
- Prediction of production machine breakdown
- Minimizing production downtime
Design services
Software design:
- Linux, Windows, Embedded, Cloud
- C / C ++, Python, Assembly
- DevOps: GitLab, Docker
Signal processing:
- MATLAB, Python
- ML/AI, Neural networks, Classifiers (PCA, ICA, SOM, HMM, SVM...)
- Custom filtering and algorithms
