Manufacturing
Rules-based vision stops the line. Edge AI keeps it running.
Built for Director of Quality Assurance 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
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. Cloud latency causes missed defects or unnecessary line stops. Edge inference on coprocessor at the camera; cloud retrains models across plants without stopping production.
Inspection throughput: 12,000 parts/min · False positive rate: 2% vs 18% baseline
Deployment: edge · Integration: PLC / MES
More use cases
How EdgeReadyAI fits manufacturing
Operational scenarios where edge and hybrid computer vision deliver measurable outcomes.
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.
Predictive Maintenance (Visual Wear)
See wear patterns before catastrophic failure. Unplanned downtime on critical assets costs millions annually; visual wear signs are caught too late by periodic inspections. Improve days advance warning from 14 to 3 with edge mode inference.
Manufacturing
See AOI on your line — book a demo
Talk to us about deploying the Hybrid SDK for high-speed automated optical inspection in your environment.