• AI
  • REAL-TIME
  • MULTICHANNEL

Galileo Sensight.AI

The intelligent datalogger that learns from your plant and recognizes anomalies automatically.

Galileo Sensight AI automatically detects anomalies in multichannel industrial signals using proprietary artificial intelligence algorithms.

It configures itself without manually defined thresholds and connects directly to PLCs for real-time corrective actions.

Galileo Sensight.AI
CompactRIO system with acquisition modules for Sensight AI

Artificial intelligence applied to industrial monitoring

Detecting anomalies with manual thresholds requires specific expertise and constant updates whenever operating conditions change. Sensight AI overcomes these limits with proprietary algorithms that configure themselves automatically, making it well suited to industrial environments and laboratories where anomalies are hard to predict.

Main features

The system combines multichannel data acquisition and AI analysis in a ready-to-use solution.

Automatic anomaly detection

  • Fully automatic AI configuration, with no manually defined thresholds
  • Correlated analysis of all channels for greater accuracy
  • Optimal handling of slow drifts and progressive sensor offsets

Real-time PLC interface

  • Digital outputs that directly command safety devices
  • Immediate signaling of detected anomalous conditions
  • Standard industrial protocols for integration with existing systems

High-frequency multichannel acquisition

  • Support for different types of sensors through NI C Series modules
  • Deterministic acquisition with real-time timing
  • Time-based and angle-based measurements for rotating applications

Fast reconfiguration

  • Automatic adaptation when operating scenarios change
  • Quick transfer between different devices under test
  • Performance maintained without complex manual intervention

Advantages over the traditional approach

The manual threshold approach has significant limitations that AI systematically resolves.

Traditional approachWith Sensight AI
Subjective acceptance windows defined by handThresholds calculated automatically by the AI algorithm
Full threshold review at every test plan changeAutomatic reconfiguration for new operating scenarios
Separate analysis of each individual measurementCorrelated analysis of all channels at once
Scalability limited by the number of manageable thresholdsPractically unlimited number of observable measurements
Complex handling of slow sensor driftsAlgorithm optimized for progressive drifts and offsets

Typical configuration

The base system combines CompactRIO with acquisition and output modules for the PLC interface.

Hardware components

ComponentSpecifications
CompactRIO NI-9064Dual-core ARM CPU, Xilinx Artix-7 FPGA, 4 C Series slots, Ethernet
NI-92394 analog channels ±10V, 24 bit, 50 kS/s per channel, isolation
NI-94218 digital inputs 24V for PLC signals
NI-94748 digital outputs 24V sourcing, 500µs response time, isolation

Software and platform

  • Environment: LabVIEW RT/FPGA
  • Supported OS: LabVIEW Real-Time on CompactRIO
  • Note: deterministic architecture for critical industrial applications

Applications and fields of use

The system is designed for industrial and research scenarios where anomalies cannot easily be defined in advance.

Energy monitoring

  • Three-phase power measurements on electric motors and generators
  • Anomaly detection in inverters and photovoltaic micro-grids
  • Reliability analysis of energy conversion systems

Vibration analysis

  • Monitoring of bearings and gears in mechanical transmissions
  • Inspection of static structures under dynamic loads
  • Preventive diagnostics on rotating machinery

Testing

  • Test benches for experimental validation of components
  • Dynamic acquisition on high-frequency load cells
  • Acoustic measurements with industrial microphones for reliability analysis

Technical specifications

FeatureDetails
Analog channelsUp to 16 differential channels for 4-slot CompactRIO
Resolution24 bit per acquisition channel
Sampling rateUp to 50 kS/s per simultaneous channel
Digital outputs8 channels 24V for PLC interface
Alarm response time<500 µs from acquisition to digital output
Acquisition modesTime-based and angle-based for rotating shafts
AI configurationAutomatic, with no operator intervention
ConnectivityEthernet for remote supervision and configuration

System requirements

RequirementDetails
Power supply24 VDC via CompactRIO, typical consumption 15W
ConnectivityEthernet 10/100 Mbps for supervision
Operating environment-40°C to +70°C, 10-90% non-condensing humidity
Required softwareLabVIEW 2019 or later for custom development

Why choose Sensight AI

Sensight AI is the natural evolution of industrial monitoring systems, removing the configuration complexity typical of traditional solutions. Our long experience in industrial measurements has allowed us to develop AI algorithms specifically optimized for detecting anomalies in real-world conditions, where noise and variability are the norm. The system stands out for its ability to operate fully autonomously without an internet connection, ensuring reliability even in isolated industrial environments. Direct PLC integration makes it possible to implement automatic safety strategies, reducing response times to anomalous conditions from hours to milliseconds.

Contact us for a demo

Our experts are available for a tailored assessment.

Let's talk