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
