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DMC9-SP Mechatronics and Remote Engineering - Machine Vision

  • Duration:
  • Investment: US$ 99
Certificate:

Must complete all lessons

Content

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Description

Machine vision has progressed in leaps and bounds since the disappointments in the eighties with tremendous results achievable today. Nowadays, machine vision systems are highly effective and a key part of many industrial systems ranging from mineral processing to manufacturing. It provides an intensive introduction to the process of generating a symbolic description of an environment from an image and also offers many opportunities for process optimization. This course is designed to help students to understand the fundamentals of selecting and setting up the appropriate machine vision and image processing hardware components, lightning techniques and optical filters. After completing this course, students will be aware of the image processing implications of various optical aberrations and valuate new methods of electro-optical compensation

 

WHO SHOULD COMPLETE THIS COURSE?

  • Image scientists
  • Quality engineers
  • Imaging researchers
  • Medical imagers
  • Software and hardware engineers
  • Production specialists
  • Developers of vision applications 
  • Project managers

 

COURSE OUTLINE

MACHINE AND HUMAN VISION

  • Introduction
  • Block diagram of machine vision system
  • Machine vision system components
  • Design of an efficient Machine vision system
  • Human Eye – Basic principles

 

COLOUR AND MACHINE VISION APPLICATIONS

  • Visual sense and Visible spectrum
  • Visual EM spectrum
  • Colour properties and Eye
  • Machine vision applications
  • Examples

 

DIGITAL IMAGE PROCESSING AND DISCRETE FOURIER TRANSFORM

  • Introduction
  • Image Representation
  • Fourier Transform
  • Spectrum: Magnitude and Phase
  • Discrete Fourier Transform
  • Fast Fourier Transform

 

SAMPLING THEORY AND ALIASING

  • Sampling
  • Example 
  • Sampling Theorem
  • Aliasing

 

FILTERING AND HISTOGRAM

  • Smoothing filtering
  • Spatial filtering
  • Histogram

 

LIGHTING TECHNIQUES AND SOURCES

  • Lighting
  • Why is Lighting critical?
  • Lighting Parameters
  • Considerations for Lighting
  • Lighting directions
  • Ring Illuminator
  • Structured Light

 

OPTICAL FILTERS AND DEVICES

  • Optical Filters
  • Optical Devices
  • Lenses
  • Mirrors
  • Polarizers

 

SENSORS

  • Sensors Usage
  • CMOS Sensors
  • CCD Sensors
  • CCD Advantages

 

LENSES AND RESOLUTION

  • Types of camera
  • Camera formats
  • Lens Mounts
  • Field of View
  • Evaluate Resolution

Investment

Plan Name Investment
Unlimited Access for 2 Years: US$ 99

Instructor

Frikkie Marx

Pr Eng, B Sc (Eng) Senior Engineer

Frikkie has over 20 years of experience in the fields of Power Systems from design to industrialisation. He started his career on the Power System Protection side, then migrated to EMC and Power Supply Systems. Frikkie's portfolio of achievements includes the design of Power Systems, Switch Mode Power Supplies, UPS, high precision Servo Amplifiers, battery and Inverter Design for solar panel applications, vehicle management, specialised computer systems and high current starter for vehicle plants. Lecturer and course developer of Industrial  and Power electronics for Technikon SA (UNISA). Project Manager/System engineer for the development of Electro-optical systems which include video systems for UAV’s and a high resolution Infra-Red Camera. Other activities include the mentorship programs of Kentron, Industrial electronics, rockets and robots training programme for the Denel Youth Foundation Bridging Program as well as training consultant.

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