Operational
Mechanism.
Technical details of field integration, data flow, and autonomous decision algorithms.
Edge Hardware
Artificial Intelligence
Navigation (SLAM)
Autonomous patrol along conveyor line with stops at bearing points (stop-and-listen)
Perception & Analysis
Bearing Degradation Frequency Signature Classification (BPFO/BPFI/BSF Anomaly Detection)
Autonomous Workflow
The robot stops at each bearing point along the conveyor line, collecting 5-second acoustic and vibration data.
Edge AI detects early wear by comparing bearing degradation frequency signatures (BPFO, BPFI, BSF) against baseline.
Bearing temperature profile cross-validated with thermal camera; failure probability predicted with 95%+ confidence through acoustic + thermal correlation.
Automatic work order opened in CMMS for detected degrading bearings; spare parts order transmitted to ERP.
Operational ROI.
Strategic Decision.
Annual $68,000 maintenance and production loss prevention savings. ROI: 3.4x
Reduces unplanned conveyor downtime by 91%; prevents an average of 18 hours of unplanned downtime per year.
Example modelling — not realised customer data. Calculated assuming roughly $20,000 total investment (robot, integration and commissioning); actual results vary by facility, shift count and configuration. Request a quote for a calculation specific to your organisation.
Review Your Custom
Autonomous Operation
Plan On-Site.
Our engineers are ready to present this robotic integration plan, specially simulated for your facility, to your team. Let's confidently launch your business's digital transformation.