Large Oil & Gas enterprise transforms images to actionable metadata with 85% accuracy

On-demand Webinar

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Information digitized using OCR is often inaccurate because of uneven lighting and challenges like skewness, blurring, aspect ratios, tilting, warping, fonts, etc. Deep learning techniques can help address these challenges to provide meaningful, searchable information from these images.

In this webinar, we will share our experience of helping a Fortune 100 Oil & Gas conglomerate extract symbols as metadata from Piping and Instrumentation Diagrams (P&IDs) to enhance core processes and drive significant business benefits.

Join our experts as they outline how to:

  • Overcome the limitations of traditional OCR for solving use cases across industries
  • Achieve ~85% accuracy in symbol extraction
  • Establish a search system with linear scalability
  • Leverage existing application architecture to maximize business benefits


Ravishankar Rao Vallabhajosyula

Senior Data Scientist, Impetus Technologies Inc.

Robert Wolfrum

Vice President, Impetus Technologies Inc.

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