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Industrial Machine Vision Course

1. Course Objectives


 This course aims to give participants a good foundation in image processing theory as well as the ability to apply this knowledge to the design and implementation of systems for machine vision in the real world. Components of machine vision systems that are currently available in the market will be discussed. There will also be hands-on sessions to perform simple machine vision tasks on an integrated system. The course will also touch on the trends evident in the machine vision industry with the advent of technological advances in processing power and higher transistor density. 

2. Course Outline 

Day-1:

Overview of Machine Vision:
  • What is and what is not
  • typical tasks: presence verification, precision gauging, print quality inspection, bar code & data matrix identification, optical character recognition (OCR)
Theory of image processing:
  • Terminology- Pixel, Image, Filter, Frame Rate, Histogram
  • Gray scale transformations- Look Up Tables, Histogram Equalization
  • Image Arithmetic- Addition, Subtraction, Min & Max
  • Spatial Linear Filters - Averaging, Smoothing, Edge Detection
  • Spatial Statistical Filters- Median Filters
  • Morphological Filters
  • Identification- Classification, Template Matching
Components of Machine Vision System:
  • Optical Lenses - Telecenteric, Microscopic, Telephoto
  • Analog and Digital Cameras - Progressive scan, Area Scan, Line Scan,  FireWire, USB, CameraLink, GE,  Special Function
  • Digital and analog Frame Grabber
  • Machine Vision Software-  Image processing Libraries, MV Libraries, MV application, Hardware SDK, Embedded software, Smart camera
  • MV Illumination  -  LED, Fluorescent, Fiber Optics,  Coaxial,  Back light, Diffused light.
  • Optical Filters - Polarizer,  Analyzer, special filters
  • Interfacing with other machines- Digital IO, RS232/485, Profibus, Ethernet

Day-2:

Choosing Sensor and Lens:
  • Video Formats
  •  Object distance, working distance,  choosing the correct lens
  • Type of lenses mount - C, CS, F bayonet
System Resolution & Achievable Accuracy:
  • Sensor size
  • Optical magnification
  • Pixel Resolution
  • System Accuracy
  • Example 1 : configuring an Area Scan Camera
  • Example 2 : Configuring a Line Scan System
Playing with Illumination:
  • Back light
  • Front light
  • Diffused light
  • Coaxial Illumination
  • Axial polarizer
Common software Algorithms:
  • Image filtering
  • Image arithmetic
  • Positioning
  • Classification

Day-3:

Hands on Practicum:
  • Practical 1:  Presence Verification
  •  Practical 2: Position Alignment
  • Practical  3: Gauging Measurement
  • Practical  4: Pattern Recognition using machine learning
  • Practical  5: Pattern Recognition using template matching
Industry outlook:
  • Camera Link standard for digital cameras
  • High resolution sensors with higher frame rates
  • Smart Camera
  • Image archiving - high speed logging
  • New algorithms - alignments
  • 3D alignment
Components of Machine Vision System:
  • Optical Lenses - Telecenteric, Microscope, Telephoto
  • Analog and Digital Cameras - Progressive scan, Area Scan, Line Scan,  FireWire, USB, CameraLink, GE,  Special Function
  • Digital and analog Frame Grabber
  • Machine Vision Software-  Image processing Libraries, MV Libraries, MV application, Hardware SDK, Embedded software, Smart camera
  • MV Illumination  -  LED, Flourescent, Fiber Optics,  Coaxial,  Back light, Diffused light.
  • Optical Filters - Polarizer,  Analyzer, special filters
  • Interfacing with other machines- Digital IO, RS232/485, Profibus, Ethernet
 2. Course Details

 The maximum enrollment per class is 4 delegates. Course materials and a book entitled  " Industrial Image processing - Visual Quality Control in Manufacturing" by C. Demant et al. will be given to each delegate for post -course reference.

Venue: Neurotech Pte Ltd  ( Singapore)
Date: please call  (65)-6272-2766
Time : 10.00 AM to 5:30 PM for a total 3 days
Fee: S$3,000.00 ( Singapore dollars) per participant



 



Neurotech:Illum-sidebar

Machine Vision Illumination

Coaxial Light
Ring Light
Back Light
Area Light
Intensity Controlled PSU



Neurotech:Camera-sidebar

Machine Vision Camera

Bina USB Camera
GE Camera
Camera Link
FireWire Camera
Customized Camera



Neurotech:CL-sidebar

Camera Cables

Camera Link Cable
Mini Camera Link Cable
High Flex FireWire Cable
InfiniFlex IEEE1394 Cable
Customized Camera Link Cable

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