Mechatronics

Mechatronics Academy

On request

Intro

Basic course into all aspects of machine vision as applied in mechatronic systems.

Participants will acquire well-balanced insight of all relevant aspects including imaging (optics, illumination, sensor characteristics), image processing hardware/software and integration aspects of machine vision in an overall system.

PRACTICAL INFO

  • The training is available for in-company sessions.

Objective

After completion of the course, the participants understand the essential basics of all aspects of machine vision which enables them to:

  • better cooperate with vision specialists;
  • set-up main specifications;
  • judge the main characteristics and implications of alternative vision solutions on system level;
  • choose or steer the development of the optimal vision system.

Intended for

This course is intended for engineers, system designers, architects and project leaders who are involved in the multi-disciplinary development of systems in which vision is applied for geometric measurement, product inspection, identification, alignment, assembly.

Prerequisites: Technical education (BSc or higher).

Course schedule On request
Duration 2 consecutive days
Course leader Dr. Adrian Rankers
Score
8
(Average score of last 3 editions)
Price per participant € 1,655 excl. VAT *
Keep me posted
Program

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: object-light interaction, basic illumination set ups, light sources and control 

Image processing

  • Possibilities and limitations of image processing techniques
  • Underlying techniques for 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 up to high-end industrial vision applications:

  • 2D optical tracking system
  • SMD component mounter
  • 3D measurement system

Advanced Topics

  • Time of Flight Measurement
  • Microsoft Kinect
Methods

The course consists of a mix of lectures, practical cases, demonstrations and hands-on exercises. It includes guidelines, do’s & don’ts and an up-to-date and unbiased overview of currently available vision components/solutions. The course material reflects the many years of practical experience of the trainers both in industry and applied research.

Remarks from participants

"Pleasant and useful course."

D. Hennekens - Vanderlande

* Prices are subject to change. Price correction will be applied at the end of the year.