- Record sound data for normal operation.
- Simulate anomalies/failures/running modes.
- Check data integrity and label selected events.
Let us develop a tailored solution for your project
Unique machines, unexpected breakdowns, or specific sound features, we know a lot about what worries our customers. We understand the industry and enjoy new challenges. The Acoustic Academy offering is an iterative development process that suits for proof-of-concept projects, one-off experiments, or co-development of new OEM services.
We have the right mix to make it work for you:
- unique sound database and sound processing know-how
- proprietary HW, SW tools and open APIs
- dedicated experts in IoT and machine learning
- years of experience working in the industry
Four steps to a successful Acoustic Academy project
- Analyse data and classes.
- Estimate samples size for accurate classification.
- Scale up data collection and exploration practices.
- Decide on the best ML approach and tools.
- Train the algorithm, optimize the learning process.
- Present results and decide on algorithm deployment.
- Deploy the algorithm on edge/in cloud.
- Validate performance on a test series.
- Design UX and a service model for real operations.