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Overview
A bearing is a machine element that constrains relative motion to only the desired motion, and reduces friction between moving parts. There are many types of bearings, each used for different purposes such as ball bearings, roller bearings, ball thrust bearings, roller thrust bearings and tapered roller thrust bearings. Usually, bearings manufacturing process requires a human inspection of the quality of bearings which is time-consuming process. Moreover, a manual repetitive inspection task may result in inconsistencies over a period of time.
Highlights
- A binary classifier trained using convolutional neural network (CNN) that processes the Ball Bearings images and classifies them as good or defective
- Trained using SageMaker default Image Classification algorithm
- An edge ML based solution can be extended using this model with an IP camera installed on manufacturing assembly line
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m4.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m4.xlarge instance type, real-time mode | $0.00 |
ml.m4.xlarge Inference (Batch) Recommended | Model inference on the ml.m4.xlarge instance type, batch mode | $0.00 |
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Since you are not being charged currently for the use of this software there will be no refund of any charges.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
First version released to AWS ML Marketplace
Additional details
Inputs
- Summary
Download the Jupyter notebook in "Additional Resources" section and follow readme.txt provided.
- Input MIME type
- image/jpeg
See Input Summary
See Input Summary
Resources
Vendor resources
Support
AWS infrastructure support
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