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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Worker Health Safety Free trial
By:
Latest Version:
0.1
Image classification model to accurately identify PPE items that prevent disease transmission.
Product Overview
The Worker Health Safety solution enables businesses to minimize disease transmission risks in various environments. Through ML-driven proactive monitoring, it makes it easier to enforce and comply with safety standards, to keep customers and employees safe from viruses and bacteria. The ML model is trained on public datasets of crowd footage featuring individuals wearing a wide range of masks, scarfs, and respirators on the face. It can be reinforced with a social distancing monitoring solution by Provectus to further enhance safety standards.
Key Data
Version
Type
Model Package
Highlights
Classification of a correct/incorrect use of facial masks, respirators, or scarves by individuals caught in the image.
Can be used with a social distance monitoring solution to provide you details on groups of people who can potentially violate the set distance parameter.
Need a custom-made solution for video/image analysis? Reach us at hello@provectus.com
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.medium
Model Batch Transform$0.01/hr
running on ml.m5.large
Infrastructure PricingWith 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
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$0.056/host/hr
running on ml.t2.medium
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 | $0.01 | |
ml.t2.medium Vendor Recommended | $0.01 | |
ml.t2.2xlarge | $0.01 |
Usage Information
Fulfillment Methods
Amazon SageMaker
In the midst of global slowdown caused by the novel coronavirus pandemic, businesses are doing their best to sprint through the crisis unharmed. And all of us just want to stay safe and protected.
In an effort to address these challenges, the product team at Provectus has been working tirelessly to enhance our Worker Safety solution for PPE detection — its evolution is now in development and takes advantage of our tech acumen in Computer Vision, Anomaly Detection, and Image Processing.
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
Worker Health Safety
Check out the JSON inference sample: https://bit.ly/whs-inference
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 MoreRefund 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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