Project Details

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Transducer Cosmetic Defect Detection System

Company: Philips Ultrasound LLC

Major(s):
Primary: CMPSC
Secondary: ME

Non-Disclosure Agreement: YES

Intellectual Property: NO

The project scope is to establish a machine learning based detection system for visual defects on fully assembled ultrasonic transducers. The project will require two main components of deliverables: 1) Mechanical design/prototyping to establish a fixture to constrain and orient the transducer(s) in the desired position/orientation(s), 2) Machine learning model to identify cosmetic defects and classify them as pass/fail based on their size.

 
 

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The Learning Factory is the maker space for Penn State’s College of Engineering. We support the capstone engineering design course, a variety of other students projects, and provide a university-industry partnership where student design projects benefit real-world clients.

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