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Upload Page
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Result Page
Inspiration
The talk at the opening ceremony. We wanted to try ourselves at a hard problem with real world application.
What it does
It analyses a microscopic picture of a crack and determines several key factors about it. These key factors are used to estimate the damage caused by the crack.
How I built it
We used python to analyse the picture and locate the crack. Then we used the convex hull algorithm to estimate the original borders and calculate the crack's key properties. For usability, we also added a Web Interface.
Challenges I ran into
Distinguishing between separate bodies, indicating that the object has broken into two and little pieces left in the crack.
Accomplishments that I'm proud of
Being able to correctly identify the crack as a polygon in the image and the hard work invested in this project.
What I learned
We learned about convex hulls and how much work an UI is.
What's next for ¿hasCrack?
Improve the adaptability for different materials.
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