AutoCracker

Inspiration

Solving a real-world problem

What it does

Detects cracks in industrial material via images

How we built it

Using deep learning and computer vision techniques

Challenges we ran into

Manually doing annotations, getting deep learning models (U-Net, Yolov3) to run

Accomplishments that we're proud of

The application works extremely well

What we learned

Hackathon is not easy

What's next for AutoCracker

Not much

Built With

• python