I will develop an ai vision inspection system for automated defect

Michael

United States

I speak English

AI Computer Vision Engineer

I am an AI and computer vision engineer who builds automated defect detection systems for industrial quality control. I use deep learning models like YOLO, PyTorch, and OpenCV to find scratches, missi...
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About this Gig

Streamline your quality control pipeline and eliminate costly manual error with a production-grade, high-precision Computer Vision Inspection System. I design and build automated deep learning pipelines tailored to detect defects, surface cracks, missing components, and assembly anomalies in real time.


Leveraging specialized expertise in industrial machine learning, I transform your raw camera feeds into intelligent inspection tools that protect your product quality and optimize operational overhead.


What I Offer:

- Custom Defect Detection: Built using state-of-the-art models like YOLOv8, PyTorch, and custom CNNs.

- Multi-Class Classification: Accurately isolate scratches, dents, color variances, or structural issues.

- Edge & On-Premise Deployment: Optimized for smooth performance on NVIDIA Jetson, local PCs, or Cloud nodes.

- API & Dashboard Integration: FastAPI / Flask backends featuring clean integration for real-time monitoring.

- Source Code & Documentation: Well-commented, production-ready code with complete deployment guides.


My Core Tech Stack:

- Programming: Python, C++

- Frameworks: PyTorch, TensorFlow, OpenCV, Ultralytics YOLO

- Tools & APIs: Docker, Git, FastAPI

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develop an ai vision inspection system for automated defect
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develop an ai vision inspection system for automated defect

APIs:

Microsoft Computer Vision AI

Expertise:

Image processing

•

Feature learning

•

Object detection

Programming language:

Python

Tools:

OpenCV

Frameworks:

Keras

•

PyTorch

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