Professional Certificate of Competency in Machine Vision Applications in Industry
IN THIS 3-MONTH INTERACTIVE LIVE ONLINE COURSE YOU WILL LEARN:
- The fundamentals of image processing and machine vision
- How to develop a simple machine vision system
- How to select cameras/lightning/frame grabbers and software
- How to assess resolution requirements
- Best practice in alignment and calibration procedures
- Identification and correction for sources of error
- How to design for harsh industrial applications
- How to configure a machine vision system
- The selection of optimal lightning to achieve best contrast
- How to apply the best optics to achieve optimal resolution
- How to do a simple design for high-speed real time performance
- How to troubleshoot simple machine vision problems
The next intake starts on the week of May 08, 2017.
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. The fundamentals of image processing and machine vision are covered in the beginning to give everyone a solid foundation to work from. The program commences with an examination of optics and lighting - as the experts say - machine vision is easy if you can get a good image into the system. You will be shown how to select and design lighting to achieve the best contrast. The selection of cameras, frame grabbers and vision appliances are next covered in practical detail. Finally, you will be shown how to select and integrate all the varying components into a professional and working system.
The program will be presented with minimal use of mathematics and extensive use of practical concepts and applications. There will be extensive use of hands-on exercises ranging initially from illustrating the key concepts of image processing to setting up a complete working machine vision system. This approach will ensure that you maximise your learning experience on this program. However, despite the advances in technology, do not expect your machine vision to have the versatility and brilliance of a human… yet. But if you apply the key concepts in this program to your machine vision application, you should have a reliable and effective solution.
MODULE 1: INTRODUCTION
Systems approach to machine vision
Machine vision vs. image processing
Computer vision vs. human vision
Basics of image processing
Colour properties and the eye
Colour properties of image input and output devices
MODULE 2: DIGITAL IMAGE PROCESSING BASICS
Fast Fourier Transform
Digital Fast Fourier Transform
Bits and pixel
MODULE 3: MACHINE VISION SYSTEM COMPONENTS
Lighting, filters and optics
Image processing and analysis components
MODULE 4: LIGHTING
Beyond visible spectrum-IR and UV radiation
Laser light in machine vision
Use of strobe lighting in machine vision
Placement of sources
Effect of stray/ambient light
Filters and their use
Optical devices for image enhancement
MODULE 5: CAMERAS AND SENSORS
CMOS and CCD sensors
Colour vs. monochrome applications
Charge transfer devices and charge injection device
3D sensing applications
Sensors for difficult environments
Speed vs. resolution
Types of cameras
Field of view
Selection of a lens
MODULE 6: IMAGE PROCESSING
Real time processing
Precision and accuracy
Selection of frame grabber/vision appliance
Use of multiplexing
IEEE 1394 'firewire' serial bus standard interface
Basic approach of image representation and processing software applications
Interactive image processing for system prototyping
High speed versus real time approaches
Selection of software packages
MODULE 7: IMAGE ANALYSIS
Enhancing the image
Optical character recognition
Read bar codes and data matrix
MODULE 8: LOW-LEVEL VISION
Basic image filtering operations
Corner and interest point detection
MODULE 9: INTERMEDIATE-LEVEL VISION
Binary shape analysis
Boundary pattern analysis
Circle and ellipse detection
The Hough transform
MODULE 10: EXTERNAL INTERFACE
Function of external interface
Handling special objects
Actions after image processing
Interfacing through programmable logic interface
Interfacing machine vision with industrial robots
Industrial challenges – heat/cold/vibration/ EMI/EMC issues
MODULE 11: CONSTRUCTING A MACHINE VISION SYSTEM
Selecting an application for machine vision implementation
- Perceived value addition
- Cost justification
- Alteration in process line
Building a system with off-the-shelf components
Buying turn-key solutions
Obsolescence and expandability issues
MODULE 12: TYPICAL APPLICATIONS
Road inspection using vehicle mounted sensors
3D application examples
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In Company Online Training Solutions
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What are the fees for my country?
The Engineering Institute of Technology (EIT) provides distance education to students located all around the world – it is one of the very few truly global training institutes. Course fees are paid in a currency that is determined by the student’s location. We aim to give you a rapid response regarding course fees that are relevant to your individual circumstances.
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Please contact us with your location for certificate fees in the relevant currency. Full payment is required between two (2) and four (4) weeks before the course starts.
Certificate fees include:
- All live webinars with a professional instructor
- Four (4) technical manuals (as searchable eBooks)
- Course materials
- Assignments, and
- Ongoing support from a dedicated Course Coordinator
All you need to participate is an Internet connection, a computer, speakers and, if possible, a microphone.
Fee concessions may apply for multiple bookings on our certificate courses.
For a rapid reply to your query regarding courses fees and payment options, please contact us and we will respond within two (2) business days.
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