AI based anomaly detection identifies abnormal machine behavior early and reliably. It analyzes sensor data in real time to protect quality and prevent downtime.
Anomaly Detection uncovers deviations, damage indicators, and abnormal behavior long before they affect production. Its AI automatically learns from historical data without labeling and identifies complex nonlinear patterns.
Analytics run directly on the Industrial Edge device, providing ultra low latency detection without heavy data transfers. Operators receive immediate insight so they can stop emerging issues before they escalate.
Users can quickly choose signals, apply light transformations, and start monitoring with minimal setup effort. Time and asset based visualizations make anomalies highly transparent, helping teams locate issues faster.
24/7 anomaly detection increases availability, reduces unplanned downtime, and extends asset lifetime by spotting vulnerabilities early. Integrated notifications and status tracking guide operators and maintenance teams.
Combine AI vigilance with Industrial Edge power. Gain deeper data insight for higher efficiency and productivity. Detect anomalies using an intuitive interface.
Detect abnormal behavior, damage or vulnerabilities in production processes early for proactive intervention. Run AI and analytics close to data origination with low latency.
Choose two data analysis methods: Anomaly Detection Basis creates AI models with Full Relationship Analysis. Anomaly Detection Extension adds temporal behavior via Deep Time Analysis, including context.