Quality inspection & production positioning
Appearance, dimension, assembly, positioning and counting checks with process traceability

Factory-grade AI vision QC for the production floor
As AI inspection spreads to more models and lines, separate systems raise management and replication costs
Systems run independently — data, flows and device status never connect
Scattered rules and configs make new models and line replication slow
Without unified data and models, utilization and accuracy stop improving
AI vision at the core: one place to manage devices, inspection tasks, models and quality data — scaling from a single station to many stations and lines as a sustainable factory-grade QC capability
Products, models, flows, devices and inspection data in one place — covering the full path from task setup to floor operation
Configure products, models, inspection items and pass criteria in one place, reuse existing algorithms and templates, then assemble a complete flow visually
Configure cameras, lighting and other field devices centrally; watch every station's status, volume and pass rate, and pinpoint device faults or quality drift fast
Manage inspection images and defect samples in one place — filter, label and train so field data keeps improving detection
From product quality to operator error-proofing — catch issues earlier, control the process, stabilize output
Video recognition of work steps catches missed steps, wrong steps and overruns, while logging the process and cycle data
Covering appearance, dimension, assembly and error-proofing, with unified onboarding of cameras, PLCs, code readers and edge devices
Unified management and capability reuse lower multi-project build and long-term maintenance costs, letting proven inspection capability be refined and rolled out quickly
Reuse models, SOPs and parameter templates — new products and stations configure fast
Unified decision standards and versions remove operator and shift variation; multi-layer error-proofing on materials, fixtures and operations
Data connected from single unit to whole plant — OK/NG yield, cycle time and anomaly trends visualized, quality gains quantified
Layered permissions by plant / line / post; version changes and device operations fully logged, with clear data accountability
Covering quality inspection, error-proofing, equipment safety and operations — AI built into core shop-floor processes
Appearance, dimension, assembly, positioning and counting checks with process traceability

Detects work order, materials, tool use, missing or wrong parts and non-compliant operations

Equipment status monitoring, fault alerts, zone intrusion and site safety risk detection

Consolidates production, quality, equipment and anomaly data, integrating with MES and other plant systems

The value of platform management becomes clearer as inspection expands from a single station to multiple models and lines