Noise Testing & Quality Assurance
High false positive rates in manufacturing QA process leading to unnecessarily rejected units and increased testing time.
Implemented our AI-powered acoustic anomaly detection system with custom noise classification to identify true defects from environmental noise.
In-Cabin Noise Analysis
Needed to identify and classify different sources of in-cabin noise to improve passenger comfort in next-generation vehicles.
Developed custom time series analysis tools with ML models to identify, separate, and classify multiple noise sources in real-time.
Predictive Maintenance
Frequent unplanned downtime due to equipment failures that weren't detected by traditional monitoring systems.
Deployed AI acoustic monitoring system using OpenVINO acceleration to detect subtle changes in equipment sound signatures.
AI-Powered Features
Needed to enhance their audio editing software with AI capabilities to compete with larger competitors.
Integrated our ML models for noise suppression, audio enhancement, and source separation with OpenVINO optimization.