SURRO MCM analyzes sound, vibration, current, and temperature signals to detect early anomalies and identify likely causes across products and equipment. Models can learn normal operating patterns from normal-only data, monitor live signals, and provide prioritized inspection guidance with supporting evidence.
The brochure covers signal standardization with Data Flow Manager, anomaly detection, explainable failure analysis, retraining and performance management with AI Quality Manager, industry applications across automotive, manufacturing, rail, and utilities, and the deployment process.