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.
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
Fast Fourier Transform
Digital Fast Fourier Transform
Bits and pixel
Lighting, filters and optics
Image processing and analysis components
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
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
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
Enhancing the image
Optical character recognition
Read bar codes and data matrix
Basic image filtering operations
Corner and interest point detection
Binary shape analysis
Boundary pattern analysis
Circle and ellipse detection
The Hough transform
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
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
Road inspection using vehicle mounted sensors
3D application examples
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In order to meet the exacting demands of the oil and gas, mining, manufacturing and downstream processing industries, modern plants are equipped with systems and devices which are needed to measure and regulate variables such as temperature, pressure, flow, humidity, liquid level, velocity and density. Industrial Automation provides the technology to control and monitor a process plant using such concepts as feedback, cascade, feedforward and advanced process control. Here at the Engineering Institute of Technology (EIT), we have developed industry-focused programs in the form of vocational diplomas, advanced diplomas and graduate certificates, all the way up to Masters level in the higher education sector.
There is a critical shortage of automation, instrumentation and control engineers, technicians and technologists around the world now due to the retirement, restructuring and rapid growth in new technologies and industries. The respected International Society of Automation (ISA) organization estimated that at least 15,000 new automation engineers are needed annually in the USA alone.
In keeping with the philosophy of EIT, students in this school are exposed to the practical, up-to-the-minute knowledge and skills demanded by leading industries worldwide, with online instrumentation courses. EIT does not just cater to a generic student body, instead all of our online instrumentation courses are specific to industry. The programs cover a large range of topics and are suited to anyone needing an intensive and practical look at all facets of industrial automation, instrumentation and process control.
The short courses that form part of EIT's professional development series are designed to provide students with critical knowledge and practical tools that can be immediately applied to the workplace. They are ideal to up-skill and/or cross-skill in a particular area or technology and are not accredited programs.
Students in EIT's School of Industrial Automation, Instrumentation and Process Control study subjects which include: process control, instrumentation, control valves, process plant layout and piping design, tuning of process loops, SCADA, PLCs, advanced process control (APC), boiler control, hazardous areas, safety instrumentation (IEC 61511 and IEC 61508), HAZOPs, industrial data communications, networking, deviceNet and Fieldbus, industrial wireless, radio telemetry systems, shielding/EMC/EMI, and noise reduction.
I: Vocational Education & Training (VET) program
II: Higher Education program
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