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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 Detector for Laboratory Safety
Free Trial

By: VITech Lab Latest Version: 1.0

Product Overview

The PPE Detector for Laboratory Safety - is a real-time computer vision model for identifying PPE non-compliance in a laboratory or healthcare facilities or life science manufacturing sites. Trained on the dataset manually selected and annotated by VITech Lab team. It works with live footage from CCTV cameras and detects people not wearing any of four objects: Coat, Glasses, Glove, Mask. Notifications are sent when the absence of PPE is detected. The ML model can be used in pharmaceutical or medical devices manufacturing, laboratories, universities, research centres and healthcare facilities. We also have a ready to use software, PPE Monitoring Platform: https://aws.amazon.com/marketplace/pp/B08BT5CV2F We provide free support during the trial period! After you've succeeded with the subscription, reach out at: support@vitechlab.com

Key Data

Version
By VITech Lab
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

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

PPE Detector for Laboratory Safety

If you have any issues or feature requests, please write to us, and we will be happy to help you as soon as possible. We can also create custom software and models optimised for your specific use case. Reach us at: support@vitechlab.com

https://vitechlab.com

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Refund Policy

We do not offer refunds at this time.

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