What is AWS Recognition?
Amazon Recognition is a service that makes it easy to add powerful, image and video-based, visual analysis to your applications.
Recognition Image lets you easily build powerful applications to search, verify, and organize millions of images.
Recognition Video lets you extract motion-based context from stored or live stream videos and helps you analyze them.
You just provide an image or video to the Recognition API, and the service can identify objects, people, text, scenes, and activities. It can detect any inappropriate content as well.
Amazon Recognition also provides highly accurate facial analysis and facial recognition. You can detect, analyze, and compare faces for a wide variety of use cases, including user verification, cataloging, people counting, and public safety.
Amazon Recognition is a HIPAA eligible service
You need to ensure that the Amazon S3 bucket you want to use is in the same region as your Amazon Recognition API endpoint.
How does it work?
Amazon Recognition provides two API sets, they are Amazon Recognition Image for analyzing images and Amazon Recognition Video, for analyzing videos.
Both API sets perform detection and recognition analysis of images and videos.
Amazon Recognition Video can be used to track the path of people in a stored video.
Amazon Recognition Video to searching a streaming video for persons whose facial descriptions match facial descriptions already stored by Amazon Recognition.
RecognizeCelebrities API returns information for up to 100 celebrities detected in an image.
Use cases for AWS recognition
Searchable image and video libraries
Amazon Recognition makes images and stored videos searchable
Face-based user verification
It can be used in building access or similar applications, compares a live image to a reference image
Sentiment and demographic analysis
Amazon Recognition detects emotions such as happiness, sadness, or surprise, and demographic information such as gender from facial images.
Recognition can analyze images and send the emotion and demographic attributes to Amazon Redshift for periodic reporting on trends such as in-store locations and similar scenarios.
Images, Stored Videos, and Streaming videos can be searches for faces that match those in a face collection A face collection is an index of faces that you own and manage
Unsafe Content Detection
Amazon Recognition can detect explicit and suggestive adult content in images and in videos
For example, social and dating sites, photo-sharing platforms, blogs and forums, apps for children, e-commerce sites, entertainment, and online advertising services.
Amazon Recognition can recognize thousands of celebrities (politicians, sports, business, entertainment, and media) within supplied images and in videos.
It detecting text in an image allows for extracting textual content from images.
Integrate powerful image and video recognition into your apps
Amazon Recognition removes the complexity of building image recognition capabilities into applications by making powerful and accurate analysis available with a simple API.
Deep learning-based image and video analysis
Recognition uses deep learning technology to accurately analyze images, find and compare faces in images, and detect objects and scenes within images and videos.
Scalable image analysis
Amazon Recognition enables for the analysis of millions of images.
This allows for curating and organizing massive amounts of visual data.
Clients pay for the images and videos they analyze and the face metadata that stored. There are no minimum fees or upfront commitments.