Vision Processing

Maintain safety and provide security in industrial settings using vision processing-based ML solutions.

BUILD AI AND ML POWERED SOLUTIONS FASTER    |    Pre-trained machine learning models available in AWS Marketplace.

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Gain fast insight and new revenue opportunities

Computer vision-based solutions automate extraction, analysis, classification, and useful information from images and videos. These solutions help businesses stay secure and compliant by identifying missing components, production irregularities, and unsafe situations. Computer vision incorporated in robotics improves operational efficiencies and product quality. These solutions can help identify unlawful activities and deter crimes resulting in secure businesses and safer communities.

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AWS re:Invent: Build ML-powered applications with speed

Learn how pre-built ML models offer an easy integration path for enabling ML inferences in your applications.

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Solutions

The following solutions from AWS Marketplace sellers focus on Amazon Sagemaker for model delivery.

Mphasis
Quantum Emulator Vehicle Damage Analysis is a Hybrid Quantum Machine Learning solution which is designed to detect damaged vehicle images.
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CVEDIA
The TALOS Crowd-Ready Human Detector detects people from a variety of camera angles while being resilient in groups, busy areas, and crowded environments.
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Provectus
Hard Hat Detector for Worker Safety is a computer vision-driven ML model designed to recognize and classify real-time PPE compliance on the factory floor.
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Computer vision at scale with Dask and PyTorch on Amazon EC2 Spot instances

Learn how you can build and train models in the cloud with Amazon SageMaker and deploy them to AWS DeepLens.
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Benefits

Build ML applications faster

Plug and play pre-trained machine learning models from third-party sellers across various use cases without sharing the data outside your environment.

Reduce time for data prep

Use pre-trained models and solutions that can help identify high-quality data from your overall data set suitable for training the ML models.

Simple feature engineering

Leverage models and solutions to identify and extract additional features from your data that can be used to train your own downstream models.
GEN

"Deep Vision’s system that recognizes and identifies visual clues, identifies facial matches, and categorizes visual data, is empowering GEN’s users to prioritize leads and facilitate the identification of persons of interest. These AI-powered visual tools are significantly speeding up the outreach and response time, two critical components to find victims of human trafficking."

—Sherrie Caltagirone, GEN Executive Director

RealAML

"Using the ML models from AWS Marketplace allowed us to develop the bulk of the technology in house and be more competitive with a lower price point than our competitors. GTRIIP helped us launch 12 months earlier than if we had built the templates ourselves"

—Jordan McCown, Managing Director, RealAML

SiteKick

“Choosing Apache MXNet’s machine learning solution was really an easy decision. Onboarding the product was equally as seamless, so that everything from procurement to deployment to testing was smooth and straightforward. We basically just flipped the switch, and it was done.”

—Michael Shishkin, CTO, SiteKick

Resources

Learn about the latest practices on how to analyze data to obtain deeper insights with resources from AWS Marketplace.
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Get started with computer vision for quality inspection, with Amazon Lookout

Learn how to automate visual inspection with computer vision for processes like quality control, with no machine learning experience required.

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Computer Vision at Scale with Dask and PyTorch on Amazon EC2 Spot Instances

Learn how data science and machine learning platform Saturn Cloud enables 100x faster workflows, reducing time to business value.

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Get started with Machine Learning: Introducing AWS DeepLens
Learn how you can build and train models in the cloud with Amazon SageMaker and deploy them to AWS DeepLens.
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