AdvancedSoftware trackDE-CP-39

Edge Vision Quality Inspection on an Industrial PC

Internship role: Werkstudent:in Machine Vision. Train a defect classifier on a public surface-defect dataset, deploy it to CPU-only inference under 50 ms and signal results to a PLC.

10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded

Program Overview

Internship role: Werkstudent:in Machine Vision. Train a defect classifier on a public surface-defect dataset, deploy it to CPU-only inference under 50 ms and signal results to a PLC.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

Stack: Python, OpenCV, ONNX Runtime, PLC handshake over OPC UA

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. Inline optical inspection is the most common AI deployment on German shop floors.

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.