SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

AI Application, Deployment & Inference
Presentation
Media
Identifying Defect Patterns in Hard Disk Drive Magnetic Media Manufacturing Processes Using Real and Synthetic Data
Abstract:

Learn how synthetic data can be used to develop traditional and Convolutional Neural Network (CNN) image segmentation models when labelled training data is limited. We will describe hard drive media defect patterns and how they relate to problems in the manufacturing line, show why CNN models were chosen for some defect patterns, and how the CNN models were trained using both synthetic and real data. Different architectures using CNNs were explored and the resulting benefits and drawbacks are presented.

 
Topics:
AI Application, Deployment & Inference, Industrial Inspection, Intelligent Machines, IoT & Robotics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8415
Streaming:
Download:
Share: