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.
With Amazon Rekognition, you can 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". Learn more »
With Amazon Rekognition Custom Labels, you can extend the detection capabilities of Amazon Rekognition to extract information from images that is uniquely helpful to your business. For example, you can find your corporate logo in social media, identify your products on store shelves, classify your machine parts in an assembly line, or detect your animated characters in videos. Learn more »
Amazon Rekognition helps you 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. Use Amazon A2I to enhance the accuracy of Amazon Rekognition image moderation predictions using human review. Learn more »
In photos and videos, text appears very differently than neat words on a printed page. Amazon Rekognition can read skewed and distorted text to capture information like store names, forced narratives overlaid on media, street signs, and text on product packaging. Learn more »
Face detection and analysis
With Amazon Rekognition, you can 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. Learn more »
Face search and verification
Amazon Rekognition provides fast and accurate face search, allowing you to 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. Learn more »
You can quickly identify well known people in your video and image libraries to catalog footage and photos for marketing, advertising, and media industry use cases. Learn more »
Personal Protective Equipment (PPE) detection
With Amazon Rekognition, you can analyze images from your on-premises cameras at scale to automatically detect if persons in images are wearing Personal Protective Equipment (PPE) such as face covers (face masks), hand covers (gloves), and head covers (helmets) and whether the protective equipment covers the corresponding body part (nose for face covers, head for head covers, and hands for hand covers). Learn more »
Make content searchable
Amazon Rekognition automatically extracts metadata from your image and video files, capturing objects, faces, text and more. This metadata can be used to easily search your images and videos with keywords, or to find the right assets for content syndication.
Flag inappropriate content
With Amazon Rekognition you can automatically flag inappropriate content, such as nudity, graphic violence or weapons, in images and videos. Using the detailed metadata returned, you can create your own rules based on what is considered appropriate for the culture and demographics of your users. Learn more »
Enable digital identity verification
Using Amazon Rekognition, you can create scalable authentication workflows for automated payments and other identity verification scenarios. Amazon Rekognition lets you easily perform face verification for opted-in users by comparing a photo or selfie with an identifying document such a driver's license.
Automate Personal Protective Equipment (PPE) detection at scale to improve workplace safety practices and to better comply with occupational safety and health regulations. With Amazon Rekognition, you can analyze images from your on-premises cameras at scale to detect if persons in images are wearing PPE such as face covers, hand covers, and head covers. Learn more »
Identify products, landmarks and brands
App developers can use Amazon Rekognition Custom Labels to identify specific items in social media and photo apps. For example, you could train a custom model to identify famous landmarks in a city to provide tourists with information about its history, operating hours, and ticket prices by simply taking a photo.
ICFES uses face detection and comparison to maintain exam integrity for 75,000 students.
Learn more about Amazon Rekognition pricing by visiting the pricing page.
Learn more about facial recognition and how to report abuse.
Get started building with Amazon Rekognition in the AWS console.