by Ria Ghuman | Aug 29, 2024
Once diagrams are digitized, organizations often struggle with sharing, storing, and managing these images efficiently. In large companies, diagrams are frequently scattered across departments, stored in various formats, and managed inconsistently. This lack of... by Ria Ghuman | Aug 27, 2024
Extracting data from scanned images and paper drawings is a major challenge for industries that rely on technical diagrams. These formats make it difficult to access information, requiring engineers to manually search through non-searchable documents to find specific... by Ria Ghuman | Aug 22, 2024
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. AI is revolutionizing the way we... by Ria Ghuman | Aug 20, 2024
Each engineering project is unique, often requiring customizations beyond standard practices. Project teams frequently adapt or create new symbols and methods to fit specific needs, leading to variations even within the same organization. For example, in Piping and... by Ria Ghuman | Aug 13, 2024
Human error is a common issue in manual data extraction, often worsened by fatigue and the complexity of tasks. This blog examines the impact of fatigue-induced errors and explores strategies to minimize these issues, thereby improving data integrity and operational...