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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.

PPE detection algorithm (Facemask)

By: Providence Healthcare Latest Version: beta

Product Overview

Video-based AI that detects degree of COVID-19 facemask policy compliance. Analyzes statistical patterns at scale. See also separate Room Occupancy & Social Distance compliance detection module. Created by Providence Health Care, working with multidisciplinary teams from the University of British Columbia, including the Dept. of Computing Science & Computer Vision Lab. Our mission is to improve patient outcomes, particularly the most vulnerable in our Long-Term Care and Acute Care settings.

Key Data

By Providence Healthcare
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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

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