Implement AI for end-of-the-line testing and process monitoring
Every quality control project is specific, producing unique sets of sounds. Although we do our best to satisfy the demands for standardized, easy-to-implement solutions, your project may require an offer from the Acoustic Academy offering.
Manufacturing process monitoring solutions
Sometimes workers or robots cannot make quality checks of each manufacturing step on the fly. Our solution hears those steps and evaluates whether they have been completed successfully.
Examples of process quality monitoring based on sound features:
- Sealing plugs recognition
- Popp clamp closing
- Fan imbalance
- Cavitation indication
End-of-line testing solutions
EOL testing is usually performed by human operators or sound recording systems combined with human supervision. That often leads to error and consequent unpredictable costs. The AI-driven method enhances the accuracy of these checks and automates them.
Examples of EOL testing based on sound features:
- Fuel/oil pumps
- Door systems
- Home appliances
- Air-conditioning systems