Precision Hardware
AI-powered machine vision systems that deliver sub-millimeter inspection accuracy at full production speed — purpose-built for zero-defect manufacturing.
Deep learning inspection systems combined with precision optics and real-time edge processing to deliver unmatched defect detection across every stage of your production line.
Sub-millimeter defect detection at full production speeds using high-resolution industrial cameras and structured illumination. Detects surface cracks, dimensional deviations, contamination, and assembly errors with <0.01mm precision.
Custom-trained convolutional neural networks learn the visual fingerprint of your product. Our models adapt to new defect classes on-the-fly, achieving >99.8% accuracy without rule-based programming or fixture setups.
Synchronized multi-camera arrays provide 360° coverage of complex assemblies. Time-triggered image acquisition and automated stitching reconstruct full product surfaces from a single conveyor pass.
Live dashboards aggregate inspection results, defect maps, and yield trends across all lines. Statistical process control (SPC) charts and automated alerts surface quality drift before it becomes scrap.
RESTful APIs and OPC-UA connectors for seamless MES, ERP, and SCADA integration. Push inspection decisions directly to PLCs for automated rejection, rework routing, and production line stops without operator intervention.
Every inspection result is stored with a timestamped image, model version, and decision log — creating a complete audit trail per part. Automated compliance reports and defect summaries are generated per shift, line, or product run on demand.
From first camera mount to live inspection in days — not a months-long integration project.
Mount industrial cameras and edge hardware directly to your existing line. Pre-configured enclosures and standard I/O mean no production downtime and no custom electrical work.
Label a sample batch of good and defective parts through our web interface. The AI learns your product's exact visual signature — no rule writing, no fixture calibration.
The system runs continuously at full production speed. Defects are flagged and reject signals sent to your PLC in under 60ms — every part, every shift, with no operator in the loop.
Custom optics, purpose-built edge inference hardware, and a cloud AI training pipeline — every layer of the stack optimized for manufacturing-grade reliability.
GPU-accelerated edge computers with real-time Linux kernels run inference locally at sub-10ms latency. No cloud round-trip required — inspection decisions happen at the line, not in a data center.
Telecentric lenses, coaxial illumination, and global-shutter sensors eliminate motion blur and perspective distortion. Camera-to-world calibration routines achieve sub-pixel reprojection accuracy across temperature cycles.
Defect images flagged at the line are automatically queued for active learning. Models are retrained nightly and deployed to all edge nodes without downtime, so accuracy improves with every production run.
Event-driven image pipeline with <60ms end-to-end latency from trigger to reject signal. Parallel inference workers saturate multi-GPU nodes, supporting line speeds up to 1200 parts per minute.
End-to-end TLS encryption, role-based access control, and immutable audit logging for all inspection decisions. Compliant with ISO 27001, SOC 2 Type II, and FDA 21 CFR Part 11 for regulated manufacturing.
Web-based dashboards with annotated defect overlays, heatmaps, and one-click model feedback. Designed for factory-floor use — high-contrast displays, minimal clicks, and full touchscreen support.
Discover how rflex.ai machine vision can eliminate escapes and cut inspection costs. Schedule a personalized technical consultation with our vision engineers.