Listing Thumbnail

    Passive Livness Engine

     Info
    Sold by: Seamfix 
    Deployed on AWS
    Authenticate users with ease and enhance biometric security with Liveness Detection by Seamfix.

    Overview

    Liveness Detection by Seamfix offers state-of-the-art technology to verify a person's identity. It uses advanced AI-powered algorithms to detect and prevent identity fraud, and is used across industries for KYC compliance, security system set-up and access control. Now you can enjoy fast, accurate and reliable identity verification with Passive Liveness by Seamfix.

    Highlights

    • Eliminate Fraud Risk: Liveness Detection by Seamfix uses advanced AI-powered algorithms to distinguish between real and fake identities, so you can eliminate the risk of fraud.
    • Enjoy Precision: Liveness Detection by Seamfix ensures accuracy in your identity verification process.
    • Improve Security: Liveness Detection by Seamfix ensures reliable and secure identity verification, to eliminate breaches.

    Details

    Delivery method

    Latest version

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Passive Livness Engine

     Info
    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.

    Usage costs (2)

     Info
    Dimension
    Description
    Cost
    ml.m4.xlarge Inference (Batch)
    Recommended
    Model inference on the ml.m4.xlarge instance type, batch mode
    $0.54/host/hour
    inference.count.m.i.c Inference Pricing
    inference.count.m.i.c Inference Pricing
    $0.54/request

    Vendor refund policy

    Contact us via email support@seamfix.com 

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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:
    Deploy the model as an API endpoint for your applications. When you send data to the endpoint, SageMaker processes it and returns results by API response. The endpoint runs continuously until you delete it. You're billed for software and SageMaker infrastructure costs while the endpoint runs. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Deploy models for real-time inference  .
    Deploy the model to process batches of data stored in Amazon Simple Storage Service (Amazon S3). SageMaker runs the job, processes your data, and returns results to Amazon S3. When complete, SageMaker stops the model. You're billed for software and SageMaker infrastructure costs only during the batch job. Duration depends on your model, instance type, and dataset size. AWS Marketplace models don't support Amazon SageMaker Asynchronous Inference. For more information, see Batch transform for inference with Amazon SageMaker AI  .
    Version release notes

    Detecta=s face in an image and classifies into live and spoof image

    Additional details

    Inputs

    Summary

    Mime-type for input data: application/json Images allowed are only png annd jpg images

    Limitations for input type
    10MB
    Input MIME type
    application/json
    {"image1": base64string}
    https://github.com/seamfix/seamfix-AWSmarketplace/blob/main/data/input/real-time/image.jpg

    Input data descriptions

    The following table describes supported input data fields for real-time inference and batch transform.

    Field name
    Description
    Constraints
    Required
    image1
    base 64string of input image (jpg/png)
    Type: FreeText Limitations: 10MB
    Yes

    Support

    Vendor support

    Arena Business Centre, 100 Berkshire Place, Wharfedale Road, Winnersh, RG41 5RD Phone: 44 7756 238056 support@seamfix.com  support@seamfix.com 

    AWS infrastructure support

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.