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I will build an automated defect detection system for your product images
AI and Computer Vision Engineer specializing in YOLO OpenCV and LLM Automation
I'm an AI & Computer Vision Engineer (MSc, University of Luxembourg) with 2.5 years of industrial experience deploying real-time visual inspection systems on live production lines. I build CV and AI s...
About this Gig
Your production line (or your client's) needs automated visual quality control - but most AI freelancers have never deployed a model outside a notebook.
I have. I'm a Machine Vision Engineer (MSc, University of Luxembourg) with 4 years building inspection systems that replaced manual QC on live industrial production lines: vibration, changing light, 24/7 line speed. That's the standard your project gets.
WHAT YOU GET
- Honest feasibility assessment first: I'll tell you if classical CV beats deep learning for your case (it often does, and it's cheaper)
- Custom-trained defect detection model (YOLO11 / PyTorch) on YOUR images
- Real evaluation metrics (precision/recall per defect type), not promises
- Clean inference code, ready to integrate
WHY ME
- 4 years of industrial machine vision in Luxembourg manufacturing
- MSc in Computer Vision & AI; published research with DOI
- Live demos of my work - ask me for the links
Before ordering, send me 5-10 sample images and a one-line description of the defect. I'll confirm feasibility for free.
Programming language:
Python
My Portfolio
FAQ
Do I need to provide my own images?
Your own images give the best results. If you don't have labels, choose Production Model or Full Solution (annotation included), or ask me about suitable public datasets.
Can you work with only a few defect samples?
Yes. Rare defects are normal in industry. I use data augmentation, synthetic defect generation and anomaly-detection approaches that learn from good parts, so we can start even with very few defect images.
