30-min study: Discover Fractures on Building Walls using Machine Learning

A fracture found in the external wall of a building in Hong Kong
Categorize the sample photos into 2 categories
The fractured building in Google Street View

The Results

The platform told me that the building has a 79% of chance that it has no fracture at all. Oops. That’s probably not true. It is because the street view contains too many things other than the concerned building.

1st round result: wrong answer
Street View: Zoomed In to the building
2nd round: correct results. Finally.

Conclusion & Future Implementation

To conclude, Teachable Machines by Google are useful to find out fractures on the external walls in the building, even if I supplied very few sample photos. Well done again, Google.

Teachable Machines in action
  1. Automation of walking around a city (with a reasonable boundary) using Google Maps Street View
  2. Capture all the buildings along the path (and crop away non-building parts)
  3. Upload the building images to the trained model for analysis
  4. Send the problematic cases to an administrator / building service department for further inspection (with geolocation / address, which can be obtained in Step 1)


Teachable Machine project link: https://drive.google.com/file/d/1rs5aPllHxNg0xK_O4Pq7HBWL6E51qysj/view?usp=sharing



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Raptor Kwok

Raptor Kwok

I write stuffs: novels, programs, mobile apps, journal papers, book chapters, etc.