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QML based Infrastructure Crack Detection

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AWS Marketplace

This solution analyzes images of civil structure surfaces and predicts whether they have cracks or not, using quantum ML.

Available in

AWS Marketplace

Available in

AWS Marketplace

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

This is a hybrid classical-quantum machine learning based solution which detects cracks on concrete and other civil infrastructure surface images. The algorithm uses a pre-trained DCGAN before variational quantum circuit. The DCGAN model is trained on in hand dataset to perform feature transformation. This trained DCGAN model enhances feature to be used as input in quantum architecture. The algorithm used in this solution inherits variational quantum circuit layers with trained parameters dedicated for surface crack image classification.

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