Machine learning method for the denoising of ultrasound scans of composite slabs and pipes

This invention is a computer program designed to analyze noisy ultrasound images of composite materials, such as those found in pipes or slabs. It uses artificial intelligence to clean up these images, making it easier to identify hidden flaws or damage within the material. After clarifying the images, the program assesses the material's condition and displays the improved image on a screen, with the image cleaning specifically performed by a machine learning model.

Why it matters: Since 2020, machine learning models for image denoising and defect detection have become significantly more sophisticated and accessible, potentially simplifying the development and training of the core AI component. Advances in computational power and specialized ML hardware also make real-time processing more feasible.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMachine learning software, ultrasound integration

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10