ProcessEye ML
ProcessEye Ultimate Upgrade — ProcessEye ML
AI-Powered Monitoring & Early Warning System
ProcessEye ML | Turning Vibration Data into Actionable Asset Health Insights.
- Closed-Loop Architecture: Seamlessly connects sensors, edge computing, ML models, and HMI for practical shop-floor deployment.
- Centralized Dashboard: Real-time visibility across all channels, worst-case assets, primary causes, and corrective actions.
- Priority Insight: Automatically highlights and ranks the most critical equipment needing immediate action.
- All-in-One Diagnostics: Integrates root cause, axis of failure, and actionable remedies in a single view.
- Complexity to Clarity: Converts advanced vibration analytics into intuitive health metrics, alert levels, and clear operational guidance.
The ProcessEye ML Advantage
From edge AI inference to actionable insights—complete closed-loop vibration monitoring.
Standalone Enterprise Edition
Designed for enterprises prioritizing data sovereignty and security, with flexible subscription options.
4 Key Benefits of Enterprise Subscription
- 100% Data Sovereignty | Offline-Ready
Zero data leakage. All processing runs locally with full support for air-gapped environments.
- Continuous Updates & Model Upgrades
Get continuous access to algorithm optimizations, feature releases, and offline driver update packages throughout your subscription.
- Flexible Enterprise Licensing
Software license keys tailored to comply with varied on-site cybersecurity policies.
- Dedicated SLA & Technical Support
Fast-track support from vendor engineers, offering remote/on-site troubleshooting and bespoke integration advisory.
Standalone Overview Console
All-Channel Edge Health Monitoring
- Real-time central console tailored for on-site standalone and edge systems.
- Delivers a 12-channel asset health matrix, offline real-time telemetry, and edge-AI Priority Insights to maintain peak reliability for critical line assets.
Edge AI Modeling & Smart Training
Automated Standalone Model Generation Engine
- Empowers standalone systems with dedicated local AI modeling workflows.
- Featuring historical feature ingestion, auto K-Means clustering, and visual PCA validation. Train and package models with a single click to build high-accuracy asset health baselines 100% cloud-free.
Real-Time Health Monitoring
Multi-Axis Dynamics & Metric Quantization
- Full-spectrum local dynamic monitoring for standalone systems.
- Combines overall asset health, 3-axis status mapping, and granular vibration indicators (v-RMS, a-Peak) for millisecond anomaly detection and transparent equipment diagnostics.
Alarm Events & Audit Trail
Edge Anomaly Sensing & Event Traceability
- A complete on-premises anomaly management hub for standalone systems.
- Integrates real-time multi-level alarm analytics, Worst Active Events prioritization, and historical audit logs. Comprehensively records triggers and recoveries to guarantee full traceability for all production line anomalies.
Diagnostic Center
AI Real-Time Root Cause Analysis & Prescriptive Insights
- Beyond data visibility—delivering actionable intelligence.
- Powered by edge AI, the system automatically captures critical vibration anomalies to deliver instant root cause analyses and prescriptive maintenance recommendations.
This empowers field engineers to execute targeted preventive maintenance, minimizing the risk of unplanned downtime.
Historical Trends & Dynamic Analytics
Multi-Dimensional Degradation Trajectories & Trend Retrospection
- Engineered with robust time-series retrospection and dynamic curve analysis.
- Integrates multi-axis health trends, warning threshold lines, and extreme value statistical summaries to help engineering teams accurately evaluate equipment degradation rates and anomaly cycles—establishing a solid foundation for predictive maintenance.
