IntermediateEngineering trackDE-CP-08
Computer Vision Quality Inspection
Detect manufacturing defects from images, report per-defect recall rather than overall accuracy, and deploy to an edge device.
10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview
Detect manufacturing defects from images, report per-defect recall rather than overall accuracy, and deploy to an edge device.
What you submit
GitHub repo or evidence pack + live demo / report + README + milestone logbook
How it is graded
Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log
- Functionality & requirements30
- Technical quality & architecture25
- Documentation15
- Deployment & evidence15
- Innovation10
- Presentation5
Pass 60% · Merit 75% · Distinction 90%
Learning Outcomes
480-hour Germany programme. Quality is the core of the German manufacturing brand. Per-class recall is what a quality engineer actually asks for.
Target Audience
Engineering Students
Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.
Aspiring Developers
Developers who want to build proof-of-work capstone projects for tech resumes.
Job Seekers
Graduates looking for AI-evaluated code review & verified industry credentials.