The NRX Blog
Leveraging AI for Data Extraction to Mitigate Safety Risks
Given the high stakes, relying on manual data extraction is no longer practical.
The Criticality of Accurate Data in Industrial Systems
In industrial operations, accuracy in data is crucial. A single error can have serious consequences, especially when safety is at stake.
Why Keeping Track of Diagram Revisions Is Essential
Tracking revisions on technical diagrams is often overlooked, yet it’s crucial in fast-paced industrial settings where updates are frequent.
The Challenges of Sharing, Storing, and Managing Diagram Images
Once diagrams are digitized, organizations often struggle with sharing, storing, and managing these images efficiently.
Extracting Data from Scanned Images and Paper Drawings
Extracting data from scanned images and paper drawings is a major challenge for industries that rely on technical
How AI Can Help Recognize Custom Symbols in P&IDs
In this blog, we’ll break down how AI learns to recognize custom symbols, how these models adapt over time, and how they can be easily integrated into current engineering workflows to make handling P&IDs more efficient.
Customizations in Engineering Diagrams: Navigating Variations
Each engineering project is unique, often requiring customizations beyond standard practices.
Embracing Automation – The Future of Data Extraction
Automation represents a pivotal shift in the landscape of data extraction, offering unprecedented efficiency and accuracy.
Tackling Human Error in Data Extraction
Human error is a common issue in manual data extraction, often worsened by fatigue and the complexity of tasks.
Managing Increasing Volumes of Estimating Requirements
As the need for cost estimates grows, many organizations struggle to keep up with demand.