MVMS

Machine vision for mechatronic systems

Information

Basic course into the various aspects of machine vision as applied in mechatronic systems. Participants will acquire theoretical and practical background on imaging, sensor characteristics, image processing and integration aspects of machine vision in the overall systems, such as accuracy and error budgeting, measurement speed and delay, interface technology, ...). The course will be a mix of lectures, practical cases, demonstrations and hands-on workshop.

 

After completion of the course, the participants are able to choose the right vision system and judge the main characteristics and implications on system level. 

Intended for

Mechatronic engineers, system designers and architects who are involved in the multi-disciplinary development of accurate motion modules/systems and apply machine vision to determine the offsets between components in the accuracy loop.

 

Prerequisites: college/university education, with at least two years of experience and preferably completion of the course "Mechatronics system design" (Metron1/2) or the former Philips-CTT course Metron.

Programme

Day 1

Imaging

Main characteristics of the main elements in the machine vision system

• Sensor: CCD/CMOS, dynamic range, speed, pixels, ...
• Optics: lens formula, focal length, magnification, depth of focus, resolutions, ...
• Object: shape, surface properties, colour
• Illumination: bright field <> dark field, back lighting <> transmission

 

Image processing

• Possibilites and limitations of image processing techniques
• Underlying techniquesfor object localization and geometric measurements (like blob and contour analysis, and pattern matching)
• Calibration of lens system and illumination
• Overview of tools for evaluation and implementation of image processing functionality

 

Day 2

System aspects

• Accuracy: error sources, error budgeting, calibration, absolute <> relative accuracy
• Speed: speed of sensor, speed of data transport, speed of processing unit, latency
• Integration of machine vision in the overall system
• Possibilities & limitations

 

Applications

The application examples range from low-cost consumer devices upto high-end industrial vision applications:

• 2D optical tracking system
• SMD component mounter
• Die and wire bonders
• Wafer pre-alignment
• Printing of solar cells
• 3D measurement system

 

This course is part of the Certified Precision Engineer program of the Dutch Society for Precision Engineering (DSPE).

Timetable

27-09-2012 09:00
28-09-2012 09:00