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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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Social Distancing Detector Free trial

Latest Version:
0.1
Image classification model that detects violations of social distancing in public areas

    Product Overview

    Provectus Social Distancing Detector fits well into video analytic workloads for businesses that are to minimize disease transmission risks, gather data for decision-making processes, and ensure adequate personal space for their employees and clients. The solution performs isomorphic analysis by estimating distances between people based on their approximate height. That requires an adequate camera angle, usually placed well-above the queue or crowd so that an image frame does not look misleading.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

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

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$0.01/hr

    running on ml.t2.large

    Model Batch Transform$0.01/hr

    running on ml.m5.large

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.111/host/hr

    running on ml.t2.large

    SageMaker Batch Transform$0.115/host/hr

    running on ml.m5.large

    About Free trial

    Try this product for 28 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.m4.4xlarge
    $0.01
    ml.m5.4xlarge
    $0.01
    ml.m5.12xlarge
    $0.01
    ml.m4.16xlarge
    $0.01
    ml.m5.2xlarge
    $0.01
    ml.m5.xlarge
    $0.01
    ml.m4.xlarge
    $0.01
    ml.m4.2xlarge
    $0.01
    ml.m5.large
    $0.01
    ml.t2.xlarge
    $0.01
    ml.m4.10xlarge
    $0.01
    ml.m5.24xlarge
    $0.01
    ml.m5d.xlarge
    $0.01
    ml.m5d.large
    $0.01
    ml.t2.large
    Vendor Recommended
    $0.01
    ml.t2.medium
    $0.01
    ml.t2.2xlarge
    $0.01

    Usage Information

    Fulfillment Methods

    Amazon SageMaker

    Usage Instructions: Supported content types are ["image/jpeg"]

    Supported response types are "application/json"

    After creating an endpoint, you can use any AWS Sagemaker APIs to use the model.

    The easiest way is with our supplied Jupyter Notebook: https://github.com/provectus/ai-worker-safety-notebooks/blob/master/social-distancing-demo.ipynb

    But you can also use the AWS CLI: aws sagemaker-runtime invoke-endpoint --endpoint-name "your_endpoint" --body fileb://test_image.jpeg --content-type "image/jpeg" output.json

    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

    Social Distancing Detector

    We'd love to tailor the model for your needs and to improve prediction accuracy for your environment and use case. Reach out to us at hello@provectus.com or visit our website.

    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.

    Learn More

    Refund Policy

    Please notify Provectus if the solution does not produce an inference or is considered to produce unsatisfactory inferences after the trial period — and we'll open a refund case for you.

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