Computer vision services on AWS range from API-driven services that require no machine learning experience, to customizable deep learning frameworks for machine learning practitioners. Computer vision enables companies to extract rich metadata that can be used in meaningful ways, such as powering intelligent search engines and automating content management.
Analyze video or images as soon as they are uploaded. For example, analyze archived video to extract rich metadata to create a searchable video library.
Integrate API-driven computer vision services into any application or use pre-trained models. For example, integrate a facial recognition API into an existing application to easily add visual analysis features.
Only pay for the number of images or minutes of video you analyze and the metadata you store. No minimum fees or upfront commitments.
Enable Intelligent Search
The metadata extracted by computer vision can power recommendation engines to return contextually relevant media or enable search engines to provide more accurate results by extracting text from images such as street names, captions, and license plates.
Content Management & Analysis
With millions of images added every day to media and social channels, using computer vision technologies such as automatic metadata extraction and image classification enables media workflows, like manual cataloging, to be done more efficiently. A searchable media library generated from the automatic metadata extraction allows you to easily search through massive amounts of content for specific individuals, activities, and more.
Personalized Content & Services
Enhanced computer-human interaction improves customer satisfaction such as offering products based on customer sentiment analysis through facial expressions in retail outlets or using image recognition to match customers with art they will love based on previous purchases and views.
Gain Customer Insights
Discover customer insights using computer vision in retail outlets, for instance, identify customer hotspots by analyzing how customers move around in a store. These insights can be used to drive better business decisions, such as ad placement.
Computer Vision Portfolio
Amazon Rekognition can identify objects, people, text, scenes, and activities, which enables users to create facial recognition systems and more.
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to build and train custom machine learning models for more granular image classification.
AWS Deep Learning AMIs provide pre-configured development environments for machine learning practitioners to quickly build custom computer vision applications.
AWS DeepLens puts deep learning in the hands of developers with a fully programmable video camera.