Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086

Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086
Guest

Ahmad Anis

Published:

September 08, 2022

00:00 00:00
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Show Notes

Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and mechanical) to convert images of text to machine-encoded text.  Today on the show, Ahmad Anis shares how he applies Machine Learning to OCR for small hardware applications, for example, blurring a face in a video in real time or on a stream to safeguard privacy using AI.  The panel also discusses various strategies related to learning and soft skills needed for success within the industry.

In this episode…


  • Optical character recognition (OCR) defined
  • Multiprocessing vs. multithreading 
  • I/O bound tasks vs. CPU tasks
  • How to handle a retry in Python
  • Strategies for employing on small hardware 
  • Template matching and preprocessing 
  • Gray scaling integrations
  • How to learn and get started within the industry
  • Reducing the scope and industry soft skills 

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