Corrosion Annotator

2024Completed

Intelligent corrosion detection and segmentation system combining deep learning with computer vision to automate industrial asset inspection with pixel-level accuracy.

PythonTensorFlowOpenCVU-NetResNet34NumPyPillowDenseCRF

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Problems Solved

✗Manual corrosion inspection time and human error
✗Inconsistent severity assessment across inspectors
✗Lack of quantifiable corrosion metrics
✗Delayed detection leading to structural failures

Solution & Key Features

Corrosion Annotator provides a comprehensive solution with the following capabilities:

✓Hybrid segmentation using U-Net and HSV color thresholding
✓Five-level severity classification (None to HIGH)
✓CRF post-processing for mask refinement
✓Batch processing with automated reporting
✓Comprehensive visual outputs (masks, overlays, annotations)
✓Flexible deployment with model fallback capability

Business Value

⚡ Efficiency

Automated inspection reducing manual assessment time

✓ Quality

Pixel-level accuracy with quantifiable severity metrics

📈 ROI

Early detection enabling predictive maintenance and preventing failures

🎯Overall Impact

Transforms manual industrial inspection into automated AI-powered analysis with pixel-level segmentation and quantifiable severity classification.

Tech Stack

Python

TensorFlow

OpenCV

U-Net

ResNet34

NumPy

Pillow

DenseCRF

Project Info

Year

2024

Status

Completed