Course Outline


  • Computer Vision
  • Machine Vision
  • Pattern Matching vs Pattern Recognition


  • Features of the target object
  • Points of reference on the object
  • Determining position
  • Determining orientation


  • Setting tolerance levels
  • Measuring lengths, diameters, angles, and other dimensions
  • Rejecting a component


  • Detecting flaws
  • Adjusting the system

Summary and Conclusion



  • Familiarity with manufacturing.
  • Experience or interest in programming, in particular C++.


  • Engineers and developers seeking to develop machine vision applications
  • Manufacturing engineers, technicians and managers
  14 Hours


Related Courses

Deep Learning for Vision with Caffe

  21 hours

Computer Vision with Python

  14 hours

Computer Vision with SimpleCV

  14 hours

Real-Time Object Detection with YOLO

  7 hours

YOLOv7: Real-time Object Detection with Computer Vision

  21 hours

Pattern Recognition

  21 hours

Fiji: Introduction to Scientific Image Processing

  21 hours


  21 hours

Marvin Framework for Image and Video Processing

  14 hours

Computer Vision with OpenCV

  28 hours

Python and Deep Learning with OpenCV 4

  14 hours

Raspberry Pi + OpenCV for Facial Recognition

  21 hours


  14 hours

Deep Learning for Self Driving Cars

  21 hours

Hardware-Accelerated Video Analytics

  14 hours