Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use.
Labels. Identify thousands of objects (such as bike, telephone, building), and scenes (such as parking lot, beach, city). When analyzing video, you can also identify specific activities such as "delivering a package" or "playing soccer".
Custom Labels. Extend the detection capabilities of Amazon Rekognition to extract information from images that is uniquely helpful to your business.
Content Moderation. Identify potentially unsafe or inappropriate content across both image and video assets and provides you with detailed labels that allow you to accurately control what you want to allow based on your needs.
Text Detection. Read skewed and distorted text to capture information like store names, forced narratives overlaid on media, street signs, and text on product packaging.
Face Detection. Easily detect when faces appear in images and videos and get attributes such as gender, age range, eyes open, glasses, facial hair for each. In video, you can also measure how these face attributes change over time, such as constructing a timeline of the emotions expressed by an actor.
Face Search and Verification. Identify a person in a photo or video using your private repository of face images. You can also verify identity by analyzing a face image against images you have stored for comparison.
Celerbity Recognition. Quickly identify well known people in your video and image libraries to catalog footage and photos for marketing, advertising, and media industry use cases.
Pathing. Capture the path of people in the scene when using Amazon Rekognition with video files. For example, you can use the movement of athletes during a game to identify plays for post-game analysis.
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required. You simply need to supply images of objects or scenes you want to identify, and the service handles the rest.
For more information and help, visit AWS Knowledge Center.
Please contact us to help getting your account set up and running optimally.