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58Introduction to Amazon Rekognition59Detecting Objects with Rekognition60Face Detection with Rekognition
Tutorials/AWS Cloud/Introduction to Amazon Rekognition
☁️AWS Cloud

Introduction to Amazon Rekognition

Updated 2026-04-20
2 min read

Introduction

Amazon Rekognition is a fully managed computer vision service that allows developers to easily add image and video analysis to their applications using highly scalable, deep learning technology.

Crucially, no machine learning expertise is required to use it. You simply supply an image or video to the API, and the service returns a JSON response containing the analysis.

Key Capabilities

1. Object and Scene Detection

Rekognition can identify thousands of objects (e.g., cars, trees, dogs) and scenes (e.g., beach, city) within an image. It also provides a bounding box showing exactly where the object is located in the image.

2. Facial Analysis

It can detect faces in an image and analyze attributes such as:

  • Are the eyes open?
  • Is the person wearing glasses?
  • What is the estimated age range?
  • What is the perceived emotion (e.g., happy, sad, angry)?

3. Facial Search and Verification

You can use Rekognition to build facial recognition systems. You create a "Collection" (a database of faces), index photos of your employees, and then pass a new image of a person at a security gate to see if it matches an existing employee in the database.

4. Text Detection (OCR)

Rekognition can extract printed and handwritten text from images. This is incredibly useful for processing license plates, street signs, or parsing scanned documents.

5. Content Moderation

If you are building a social media app, you can pass user-uploaded images to Rekognition to automatically detect inappropriate, unwanted, or offensive content (like violence or nudity) before it is published to your platform.

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