Sign in
Categories
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help
Skip to main content

Vision Processing

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

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.

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.

Solutions

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

Mphasis

Mphasis logo in color, horizontal orientation, 350x100 pixels Quantum Emulator Vehicle Damage Analysis is a Hybrid Quantum Machine Learning solution which is designed to detect damaged vehicle images.
See how it works: Demo
Learn more

Provectus

Provectus company logo with stylized 'P' icon and text. 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. Try now

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.
Missing alt text value

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.