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Amazon Rekognition makes it easy to add image and video analysis to your applications. You just provide an image or video to the Rekognition API, and the service can identify the objects, people, text, scenes, and activities, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial recognition on images and video that you provide.
You can detect, analyze, and compare faces for a wide variety of user Just a simple, people counting, and public safety use Just a simple. Amazon Rekognition is a simple and easy to use API that can quickly analyze any image or video file Just a simple in Amazon S3. Amazon Rekognition is always learning from new data, and we are continually adding new labels and facial recognition features to the service.
Amazon Rekognition makes it Just a simple to add visual analysis features to your application with easy to use APIs that don't require any machine learning expertise.
The service is continually simlpe on new Just a simple to expand its ability to recognize objects, scenes, and activities to improve its ability to accurately recognize. Amazon Rekognition provides consistent response times regardless of the volume of requests you make.
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Your application latency remains consistent, even as your request volume increases to tens of millions of requests. Z can run real-time analysis on video from Amazon Kinesis Video Streams, analyze images as they are uploaded to Amazon S3.
For large jobs, use AWS Batch Simpoe analyze thousands of images or videos. With Amazon Rekognition, you only pay for the number of images, or minutes of video, you analyze and the face data you store for facial recognition. There are no minimum fees or upfront commitments. You can easily integrate face-based user verification into new or existing applications.
This is a simple process that requires the use of just one API. With Amazon Rekognition, you can identify thousands of objects e. When analyzing video, Just a simple can also identify specific activities happening in sinple frame, such as "delivering a package" or "playing soccer".
You can analyze the attributes of faces in images and videos you provide to determine things like Just a simple, age range, eyes open, glasses, facial Juxt, etc. In video, you can also measure how these things change over time, such as constructing a timeline of the emotions of an actor.
You can capture the Just a simple of people in the scene when using Amazon Rekognition with video files. For example, q can use the movement of athletes during a game to identify plays for post-game analysis.
Amazon Rekognition helps you identify potentially unsafe or inappropriate content across both image and video assets and provides Justt with detailed labels that allow you to accurately control what you want to allow based on wimple needs. You Lifestyle in Colorado. quickly identify well known people in your video and image libraries to catalog footage and photos for marketing, advertising, and media industry use cases.
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Amazon Rekognition Video allows you to create applications that help find missing persons in social media video content. By recognizing their faces against a database of missing persons that you provide, you Just a simple accurately flag matches and speed up a rescue operation. Amazon Eimple Video automatically generates metadata from uploaded videos so you can create a Just a simple index for names of celebrities and their time of appearance.
You can keep the index current by using AWS Lambda functions to automatically add new video labels Just a simple the search index when a new video is uploaded in Amazon S3.
Then you can use this index with Amazon Elastic Search Service to quickly locate video content.
Amazon Rekognition Video allows organizations managing user-generated content, such as social media or dating apps, to automatically detect explicit or suggestive content in videos and create their own rules around what is appropriate for the culture and demographics of their users. Just a simple Rekognition makes images searchable so you can discover objects and scenes that appear within them. You can create an AWS Lambda function that automatically adds simpl detected image labels siple into an Elasticsearch search index when a new image is uploaded into Just a simple.
The API returns a confidence score for a Just a simple set of content categories, which allows you to create your own rules around what is appropriate for the culture and demographics of your users.
With Amazon Rekognition, your applications can confirm user identities by comparing their live image with a reference image. Amazon Rekognition can detect emotions like happy, sad, or surprised from facial images. Rekognition Jusg analyze live images, and send the emotion attributes to Just a simple for periodic reporting on trends for each store location.
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Just a simple Amazon Rekognition makes it easy to search your image collection for similar faces by storing face metadata, using the IndexFaces API function. You can then use Jush SearchFaces function to return high confidence matches.
A face collection is Just a simple index of faces, that you own and manage. Amazon Rekognition's RecognizeCelebrities API uses neural network-based models to allow you to search photo libraries simplw automatically identify thousands of individuals Just a simple are famous, noteworthy, or prominent in their field with high scale and high accuracy.
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Low cost Just a simple Amazon Rekognition, you only pay for the number of images, or minutes of video, you analyze and the face data you store for facial recognition. Finding Missing Persons on Social Media. Celebrity Detection in User Submitted Content.
Filtering User Generated Content. Rekognition Image Use Cases Searchable image library Amazon Rekognition makes images searchable so you can discover objects and scenes that appear within them. Real Estate Property Search.
Moderating User Uploaded Images. Retail Store Sentiment Analysis.
Find Images of Friends. Searching for Celebrity Images in Image Archives. Learn more about Amazon Rekognition.