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.

Scroll

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.

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
Quantum Emulator Vehicle Damage Analysis is a Hybrid Quantum Machine Learning solution which is designed to detect damaged vehicle images.
See how it works:
See how it works ➜
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.
See how it works:
See how it works ➜
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.

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.

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.

Resources

Learn about the latest practices on how to analyze data to obtain deeper insights with resources from AWS Marketplace.

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

Watch webinar 

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

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