I will develop industrial defect detection, visual inspection, and quality control
About this Gig
I develop custom industrial computer vision and visual inspection systems for automatically detecting defects and quality issues in manufactured products.
I can build solutions for:
- Defect detection and classification
- Surface inspection
- Scratch and crack detection
- Missing-component detection
- Shape and assembly verification
- Product classification
- Image segmentation
- Object measurement
- Quality-control automation
- Production-line inspection
- Pass/fail classification
- Automated inspection reports
Using Python, OpenCV, YOLO, PyTorch, TensorFlow, NumPy, and custom machine-learning models, I can develop inspection pipelines tailored to your products, camera setup, and production requirements.
Whether you need image-based quality control, automated defect detection, or real-time manufacturing inspection, I can build the computer vision workflow around your application.
Send me sample product images, defect examples, camera details, and required output before ordering.
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Programming language:
Python
Tools:
OpenCV
Frameworks:
PyTorch

