Amazon SageMaker
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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
PCB Anomaly Detection is a computer vision-based machine learning solution to identify defects in Through-Hole PCBs. The algorithm identifies 6 different kinds of defects: Missing Hole, Mouse Bite, Spur, Open Circuit, Short Circuit, Spurious copper. The algorithm takes reference PCB templates for analysis and identification of defects in erroneous PCB images.
Key Data
| Version | |
| By | Mphasis |
| Categories | |
| Type | Algorithm |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Training
Additional Resources
End User License Agreement
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Support Information
PCB Defect Detector
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Refund Policy
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