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Amazon Sagemaker

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.

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Barcode/QR-code Scanner

By:
Quantiphi
1 AWS review
Barcode/QR-code Scanner scans images and returns the barcode-data and the barcode-type.
  • This product has been removed and is no longer available to new customers.

Product Overview

Barcode/QR-code Scanner reads barcodes that are digitally available in an image format. The Barcode/QR-code scanner includes a decoder, which decrypts the type of the barcode and helps decode the encoded data. A QR-code is a two-dimensional variant of the barcode. While scanning a QR-code, the Bar/QR-code Scanner identifies the barcode-type as "QR-code".

Key Data

By
Quantiphi
Categories
Computer Vision
Type
Model Package
Fulfillment Methods
Amazon SageMaker

Highlights

  • The Barcode/QR-code Scanner applies to a multitude of industries, including Supply-chain, retail, inventory reporting, etc.

Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

Usage Information

Model input and output details

Input

Summary

Barcode/QR-code Scanner reads barcodes that are digitally available in an image format.

  • Supported Image Types: JPG/PNG
  • Output type: Text

After deploying an endpoint on Amazon SageMaker, it can be invoked from AWS CLI by running the following command passing image in bytearray format:

aws sagemaker-runtime invoke-endpoint
--endpoint-name $endpoint_name
--body fileb://$file_name
--content-type *"image/jpeg"*
--region $region_name
$output_file_name

Limitations for input type
Maximum File size is 5 Mb
Input MIME type
image/jpeg
Sample input data

Output

Summary

By running the sample notebook provided in the git repository attached in Additional Resources, output is generated in Text format.

By invoking the endpoint through AWS CLI, output is generated in JSON format with Barcode Data and Type as a key-value pair.

Output MIME type
text/csv
Sample output data
'{"https://quantiphi.com/": "QRCODE"}'
Expand all output descriptions
Field name
-
Description
The output type is a dictionary of Barcode Data and Type provided in Text format.
Always returned
Yes
Data type
FreeText

Sample notebook

Additional Resources

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

Support Information

AWS Infrastructure

AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

Customer Reviews

ilike2breakthngs
Great Potential
Dec 8, 2020Verified purchase review from AWS Marketplace
The documentation seems to have followed the last version of SageMaker which makes it unusable if
you are attempting to build the model & endpoint using JupyterLab. Their demo works, but
unfortunately after spending the entire day, I am still getting Internal Server Errors. The l... Read more... Read more
View all

Reviews from AWS Marketplace

1 AWS review