Manufacturing
Rules-based vision stops the line. Edge AI keeps it running.
Built for Principal Automation Engineer teams who need real-time visual intelligence without rebuilding an entire vision stack. EdgeReadyAI Hybrid SDK — edge inference where latency, privacy, or connectivity demand it.
Manufacturing
See wear patterns before catastrophic failure
Unplanned downtime on critical assets costs millions annually; visual wear signs are caught too late by periodic inspections. Scheduled inspections miss progressive wear between maintenance windows. Continuous edge monitoring on fixed cameras triggers alerts before catastrophic failure; cloud correlates wear patterns fleet-wide.
Avg unplanned downtime per incident: 72 hours · Days advance warning: 3 vs 14 baseline
Deployment: edge · Integration: SCADA / CMMS
More use cases
How EdgeReadyAI fits manufacturing
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.
High-speed Automated Optical Inspection
Inspect at line speed — without stopping the line. Legacy rule-based systems generate false positives that halt conveyors; micro-defects slip past human inspection, driving scrap and rework. Improve false positive rate from 18% to 2% with edge mode inference.
Assembly Verification
Catch missing components before they cost $10K/hour downstream. Missing components in multi-stage assemblies trigger downstream rework costing $10K+ per hour and supplier quality disputes. Improve assembly defect escape rate from 4.2% to 0.3% with hybrid inference.
Manufacturing
Monitor critical assets — schedule a pilot
Talk to us about deploying the Hybrid SDK for predictive maintenance (visual wear) in your environment.