Courses
Machine Vision Fundamentals
Under development
Who is this course for?
Engineers, technicians, students and automation professionals who need a structured introduction to industrial machine vision.
Pre-requisites
- Basic algebra and geometry
- General familiarity with industrial automation
- No previous machine-vision programming experience required
Learning objective summary
Establish the optical, imaging, processing and integration foundations needed to specify and implement reliable vision systems.
Estimated time to complete: 21 hours
Machine Vision Advanced
Not started
Who is this course for?
Practitioners who already build conventional vision systems and need deeper capability in calibration, 3D vision and validation.
Pre-requisites
- Machine Vision Fundamentals or equivalent experience
- Comfort with coordinate systems and basic statistics
- Some programming or configurable vision-tool experience, including Python.
Learning objective summary
Develop robust calibrated, multi-camera and 3D systems while managing uncertainty, integration risk and production variation.
Estimated time to complete: 21 hours
Machine Vision AI
Not started
Who is this course for?
Expert Machine Vision engineers looking at expand their skills to the development of end-to-end image processing pipelines with open-source deep learning tools.
Pre-requisites
- Machine Vision Advanced or equivalent knowledge
- Medium Python and numerical-computing experience
- Introductory probability and statistics
Learning objective summary
End-to-end image processing pipelines for deep learning.
Estimated time to complete: ---