Processing Fab Floor Data Where It Is Generated
Edge AI inference, MES/ERP/SCADA connectivity, and flexible cloud or on-premises deployment for display fab operations
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Overview
Display fabs generate high-volume, low-latency event data from RFID readers, BLE gateways, and sensors distributed across multiple bays and lines. Sending every event to a distant cloud region for processing introduces delay that is unacceptable for access control decisions, tailgating detection, and other time-sensitive tracking functions. DisplayCore AI’s edge system performs AI inference close to the data source, then integrates with the manufacturing execution, enterprise resource planning, and process control systems already running in the fab.
Edge Intelligence & Middleware
Local processing keeps time-sensitive tracking and access decisions fast, even when connectivity to a central system is intermittent.
Edge AI processing for real-time panel line event analytics
Local inference on location and event data as it is generated, reducing the delay between an event and an actionable alert.
MQTT & OPC-UA middleware for display fab IoT integration
Protocol support connecting IoT devices and industrial control systems into a common data pipeline.
AI inference at the edge for access & tracking decisions
Local decision-making for access authorization and personnel tracking that does not depend on a continuous cloud connection.
Data normalization layer for multi-protocol fab environments
Consolidation of data from RFID, BLE, sensor, and industrial protocols into a consistent format for downstream analysis.
System Interoperability & Connectivity
Tracking and traceability data has limited value if it stays isolated from the manufacturing execution and enterprise systems already in use across the fab.
MES integration for AI-driven WIP & traceability data
Data exchange with manufacturing execution systems so WIP status and genealogy records stay synchronized with production records.
ERP connectivity for AI inventory synchronization
Integration with enterprise resource planning systems to keep inventory forecasts aligned with procurement and planning data.
API gateway for display fab IoT data orchestration
A structured integration point for connecting DisplayCore AI’s data streams with other fab systems and reporting tools.
SCADA & DCS interface layer for process intelligence
Connectivity with supervisory control and distributed control systems to correlate tracking data with process parameters.
Orchestration & Deployment System
Multi-site display manufacturers need consistent tracking and access behavior across facilities, along with resilience against individual hardware failures.
Multi-site AIoT orchestration for display fab networks
Coordinated deployment and management across multiple fab locations from a single administrative structure.
Redundant edge node system for continuous tracking
Failover design that keeps tracking and access functions operating during individual edge node outages.
AI model deployment pipeline for fab operations
Structured processes for deploying, updating, and validating AI models across production environments.
Role-based data access & segmentation for display fabs
Access controls that limit data visibility according to role, facility, or production line assignment.
Cloud Deployment
Cloud-based deployment suits facilities that prefer centralized administration and lower on-site infrastructure requirements.
Cloud-based people tracking dashboard for display fabs
Centralized visibility into personnel location and access events across one or more facilities.
SaaS access control management for display fab operators
Cloud-hosted access control administration without the need for locally managed servers.
Cloud AI inventory analytics for LCD/OLED manufacturers
Inventory forecasting and analytics delivered through a cloud-hosted service.
Multi-tenant SaaS traceability software for display OEMs
Traceability functions structured to support display OEMs coordinating across multiple contract manufacturing partners.
Server Deployment
Some display fabs, particularly those operating under strict data residency or network isolation requirements, require on-premises deployment instead of a cloud-hosted model.
On-premises AI tracking server for air-gapped fab environments
Fully local deployment for facilities that cannot connect tracking systems to external networks.
Private server deployment for cleanroom access control systems
Locally hosted access control administration for facilities requiring data to remain on-site.
Enterprise server-based WIP & traceability software
On-premises WIP and traceability functions integrated with existing fab IT infrastructure.
Hybrid server-cloud synchronization for display fab operations
A combined approach using local processing for time-sensitive functions with periodic synchronization to a cloud reporting layer.
Selecting a Deployment Model
The right deployment model depends on a facility’s connectivity, data residency requirements, and existing IT infrastructure. Facilities operating under government contracts or handling proprietary process data often require on-premises or air-gapped deployment, while multi-site operators managing several fabs under common management may prefer a cloud or hybrid model for centralized visibility. DisplayCore AI’s system supports both approaches without requiring a different underlying AI model for each.
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