Inspection Data Management System (IDM)-Dataram AI

Challenge

High storage and
long-term retention cost.
Fragmented multi-equipment
& multi-plant data silos
Slow quality tracing and
delayed process optimization.

Overview

The Dataram Inspection Data Management System is an intelligent business system engineered for the massive detection data scenarios faced by modern manufacturing enterprises. This solution delivers end-to-end data governance by providing comprehensive machine equipment management, automated data collection and organization, and robust quality traceability. It also ensures superior data classification and deep analytics capabilities, which drive actionable business intelligence and sophisticated visualization via executive dashboards, enabling strategic data hierarchical management and maximizing overall operational efficiency.

Dataram Inspection Data Management System (IDM) architecture

Performance, Access, & Scale Sub-Second Querying:

Precise, microsecond-level query performance across petabyte-scale datasets.

Unified Global Access: Seamless data fabric compatibility with all major protocols.

Intuitive Data Interface: Single, unified interface for online preview, annotation,management.

Agile Analytics: Flexible, on-demand statistical generation for data intelligence.
Operational Excellence & TCO Real-Time Fault Detection:

Continuous, real-time monitoring of Equipment for proactive and timely fault identification.

Centralized OpEx Management: designed to maximize operational and maintenance efficiency.

Optimized TCO: Significant TCO reduction through integrated data compression and policy-driven layered storage.

Value

More Efficient Quality Management
1.Retrieval of 100 billions of files in seconds, automatic data label extraction, Bl visual reports.

2.Cross-factory unified retrieval, data batch download, quality traceability faster.

3.Online preview/annotation, simplify the manual re-judgment process, improves human efficiency by 5 to 10 times.

4.Seamless integration of inspection and process data enables more precise AI quality control and faster process respon
More Agile Data Management
1.Unified management of tens of thousands of machines, automatic data collection and upload, and real-time monitoring.

2.Data lifecycle management, automatic hot and cold data layered storage.

3.Unified governance and cleansing of multi-source detection data, automatically generating AI-ready datasets to support model training/optimization for defect identification and other applications.

4.Multi-protocol lossless interworking, efficient collaborative docking YMS, MES, Al re-judgment and other quality inspection ecosystems.
Lower TCO
1.AI image lossless compression, saving over 30% of storage space.

2.Process automation replaces tedious manual work, reduces human investment in.

3.Real-time machine monitoring, one-click batch deployment and upgrades.

4.The native archiving engine,cold data tiered tape library,without deploying a backup archiving system separately.

Performance, Access, & Scale Sub-Second Querying:

Operational Excellence & TCO Real-Time Fault Detection: