Computer Vision Services for AI
Enable your applications to analyze images and video at scale
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.
Benefits
Real-Time Analysis
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.
Simple Integration
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.
Low Cost
Only pay for the number of images or minutes of video you analyze and the metadata you store. No minimum fees or upfront commitments.
Use Cases
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
Amazon Rekognition can identify objects, people, text, scenes, and activities, which enables users to create facial recognition systems and more.
Amazon SageMaker
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.
Deep Learning
AWS Deep Learning AMIs provide pre-configured development environments for machine learning practitioners to quickly build custom computer vision applications.
AWS DeepLens
AWS DeepLens puts deep learning in the hands of developers with a fully programmable video camera.
Featured Computer Vision Customers
“We use Amazon Rekognition to enrich our mapping content. Rekognition’s Text in Image allows us to continually update signage information so our customers have the latest information at their fingertips. We look forward to continuing our partnership with AWS and implementing their computer vision solutions in more of our products.”
“We want to be able to take any clinical input such as a radiology test, lab test, or personalized clinical variables and say here is the likelihood of a disease state and provide output on utility and management of next steps, and that’s our goal with deep learning. Using the convenience of the AWS Deep Learning AMIs on AWS gives us the opportunity to offer up different business models, which allows us to become excellent technology partners as the market evolves at an ever-increasing pace. The possibilities are endless with what we can do on AWS to help our customers.”
Dr. Aki Alzubaidi
Founder of Matrix Analytics
“Amazon Rekognition makes it easy to quickly search for similar faces within large collections that may contain millions of face templates. Rekognition includes useful features like emotion and age estimation in addition to highly accurate face detection and matching. For Spokeo, having access to this level of quality without worrying about scalability or administration means we can focus more time on our core business.”
“As a visually-driven platform, Pinterest relies heavily on the speed and quality of images, but the text behind those images is just as important, as it provides context and makes Pins actionable for our 200M+ active Pinners. In working with Amazon Rekognition Text in Image, we can better extract the rich text captured in images at scale and with low latency for the millions of Pins stored in Amazon S3. We look forward to continuing to develop the partnership with AWS for high quality and fast experiences for Pinners and businesses on Pinterest.”
“Performance data isn’t a problem, but understanding why certain creative assets work better than others, and then having the ability to act on that information is. By building VidMob’s Agile Creative Suite™ on top of Amazon Rekognition, we are addressing two of the most significant marketer pain points. To date, our Agile Creative Suite has analyzed over 40,000 creative assets with Rekognition. The granularity of the data from Rekognition allows us to surface incredible insights for our clients, and enables them to see their content in a whole new way.”
“Through our partnership with Rekognition, we are able to deploy real-time visual search into our existing influencer search engine. This has added incredible value to our business and to our clients. In our first week of use, we ran Rekognition against tens of millions of social images. After running a handful of samples to determine the accuracy of the label detection, we found our confidence level to be extremely high compared to other image recognition platforms we evaluated. Amazon tools allow us to maintain our edge as the technology leader in the influencer marketing space."