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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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Passport Data Page Detection Free trial

Passport Data Page Detection allows you to detect if a passport data page photo is a valid photo for identity use.
  • This product has been removed and is no longer available to new customers.

Product Overview

With GTRIIP's Passport Data Page Detection API, you can now have automated Know Your Customer (KYC) capabilities at your fingertips. GTRIIP's Passport Page Detection API uses machine learning and AI to verify the photograph and personal particulars on the passport page and can extract these personal particulars to automate cumbersome form-filling processes. This robust API can be easily integrated to web applications and perform verification checks at scale.

Key Data

Type
Model Package
Fulfillment Methods
Amazon SageMaker

Highlights

  • -Machine Learning - our API is powered by our proprietary machine learning engine to detect passport fraud and validity and our accuracy is continuously improved as our model is trained with more input

  • -Smooth User Experience - easy-to-use API which can be integrated to any web application like chatbots or onboarding screens for instant access to our service

  • -Trusted by Leading Brands - GTRIIP's digital identity products are used by leading hospitality brands all over the world such as the Sands China Group and Amara Hotel

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Usage Information

Model input and output details

Input

Summary

Provide a form-data or application/json file to the endpoint. Parameters you can tune:

  • image or image_bytes: Field for your image, either as a file or base64-encoded bytestring. An error will be thrown if neither is provided.
  • auto_rotate: Optional. Set to True if uploading your passport at 90/180/270 degrees. A suggested rotation degree will be returned.
  • skip_face_detect: Optional. Set to True to skip face detection for the passport. Refer to the sample notebook for more details.
Limitations for input type
10 MegaBytes
Input MIME type
application/json
Sample input data

Output

Summary

Output Summary:

  • Face Location: Coordinates of detected face.
  • Document Details:
    • Type and MRZ type, Country, Nationality
    • Name, Date of Birth, Sex
    • Expiration Date, Document Number, Personal Number
    • Expiry Status
  • Validation Scores:
    • Composite, Date of Birth, Expiration Date, Number, Personal Number scores
    • Overall validity and score
  • Raw Text: Extracted MRZ text
  • Rotate Angle: Suggested rotation angle
  • Success: Scan success status
  • Error Message: Error details.
Limitations for output type
No limitation.
Output MIME type
application/json
Sample output data

End User License Agreement

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Support Information

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Refund Policy

The product is not refundable.

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