Type of course:
Digital learning, Lesson
Language:
EN
Duration:
0 hours, 20 minutes
Proficiency:
Intermediate
Target:
Professionals
SUMMARY
This course teaches how to design and run a defect inspection station that consistently separates “good” from “defective” across shifts and production variation. It covers defect definitions and taxonomy, why defects get missed, and how to engineer reliable inspection through lighting, optics/cameras, guided projection-based workflows, and a digital “playbook” that standardizes steps, decisions, evidence, and continuous improvement.
Main points (bullets)
- Goal: design an inspection station that consistently separates good vs defective across shifts and variation.
- Use a clear defect taxonomy (surface, dimensional, structural, assembly, functional, cosmetic) tied to specs.
- Reduce misses by stabilizing fundamentals: lighting, viewing geometry, optics/resolution, fixtures, and procedures.
- Prioritize illumination design, then select cameras/optics/filters to make defects visible and measurable.
- Use guided projection + tracking to standardize where/how to inspect and capture evidence.
- Run everything via a digital “playbook” (recipes, ROIs, steps, decision rules, outputs) to enable traceability and continuous improvement.
Learning outcomes
- Overview and Understanding of the whole inspection system
Course Content
Topics
Automation and Sensoring, Automation and Robotics, Digital Transformation, Artificial Intelligence (AI), Computer Vision
Tags
Artificial Intelligence
Content created in 2024
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