ID No. 0000075405: Machine Visual Inspection Analyst (TÜV)

Certification Program Title:Machine Visual Inspection Analyst (TÜV)
Admission Requirements:

The participants bring the following educational and professional background:

  • Bachelor degree or above, with at least 2 years of engineering related experience or
  • College degree with at least 3 years of work experience in the relevant

AND

Participation in the training course “Machine Visual Inspection Analyst (TÜV)” provided by TÜV Rheinland Academy. The course duration is 8 days with a total of 56 hours. Admission to the exam is subject to a minimum attendance of 85%.

Examination Components:
  • Written exam
  • Practical exam
Required Competencies:

In the examination participants prove their knowledge in the following areas:

  • Zero defect and visual inspection
  • Optical measurement technology
  • Application of optical measurement systems
  • Visual inspection technology
  • Visual and image data processing and analysis
  • Classic visual algorithms and implementations
  • Machine vision algorithms for deep learning
  • Python-based open CV solution.

Successful candidates have the competence in order to:

  • Apply the image processing algorithms in OpenCV and fully understand the application steps for machine learning algorithms
  • Master the principle and application of common machine learning algorithms
  • Understand the application of machine learning algorithms in image analysis
  • Apply advanced programming language and OpenCV
  • Apply machine learning algorithms.
Recertification:

Participants demonstrate the relevance of their competence in a recertification process.

Currently implemented in:China (Mainland)