We believe that many of the fractures in large assets, such as turbines and power plants, can be discovered before the damage becomes irreversible. For such high-cost systems, it is crucial to detect a seemingly small fracture before it turns into a disaster.
Our objective is to prevent severe damages caused by microscopic fractures in assets such as power plants and turbines.
What it does
By the prevention of such damages, we aim to reduce
- Time spent by domain experts on the manual evaluation
- Cost of maintaining the assets by predict the critical damages
How we built it
We propose a solution to detect the cracks in materials using computer vision which will lead business insights for the benefit of both the customers and Allianz.
Accomplishments that we're proud of
- We are proud of having a working demo! \o/
Built With
- flask
- javascript
- love
- magic
- python
- unet
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