AWS, Cloud Computing

4 Mins Read

How Amazon Rekognition Works

TABLE OF CONTENT

1. Introduction
2. What is Amazon Rekognition
3. Type of Analysis
4. Why Amazon Rekognition
5. Common Applications of Amazon Rekognition
6. General Architecture Using Amazon Rekognition’s API
7. Conclusion
8. About CloudThat
9. FAQs

1. Introduction

The commercial uses of computer vision algorithms have exploded in the last two years, whether it’s for self-driving cars, national security, or healthcare. However, its application necessitates a thorough understanding, which Amazon Rekognition services may be able to replace.

2. What Is Amazon Rekognition?

Amazon Rekognition is a Computer Vision service that is fully managed by AWS and uses highly scalable deep learning technology to analyze images and video. With Amazon Rekognition, various business challenges can be solved without requiring you to have an expert in machine learning.

Amazon Rekognition is a simple API that instantly analyses any image or video file. This service is trained to accurately identify objects, people, scenes, activities, text, and inappropriate content. Simply upload a photo or video to the Amazon Rekognition API, and the service will recognize objects, text, people, activities, and scenes. It can detect any inappropriate content; you can enforce policies and comply with regulations with inappropriate content.

3. Type of Analysis

The Amazon Rekognition Image and Video API may do the following types of analysis.

Amazon Rekognition Custom Labels may identify goods and scenes in images specific to your company’s needs.

4. Why Amazon Rekognition?

Some of the benefits of using Amazon Rekognition are as follows:

5. Common Applications of Amazon Rekognition

Few Amazon Rekognition’s use cases are mentioned below:

Amazon Rekognition

6. General Architecture Using Amazon Rekognition’s API

Amazon Rekognition

Metadata such as camera position, time, and other camera data can be uploaded to S3 along with the frames. As images are processed, you may either delete them right away or use an S3 bucket’s lifecycle policy to set them to expire after a certain amount of time, as required by your organization’s data retention policy. Amazon Lambda can trigger Amazon Rekognition with S3 events & also generate notifications using AWS SNS.

7. Conclusion

AWS Rekognition is a simple, easy, rapid, and cost-effective way to implement computer vision models without having to worry about knowledge of computer vision’s core functioning. All you need to know is how to use the API provided by the client libraries.

8. About CloudThat

As a pioneer in the Cloud consulting realm, CloudThat is AWS (Amazon Web Services) Advanced Consulting Partner, AWS authorized Training Partner, Microsoft Gold Partner, and Winner of the Microsoft Asia Superstar Campaign for India: 2021. Our team has designed and delivered various Disaster Recovery strategies to our customers. We are on a mission to build a robust cloud computing ecosystem by disseminating knowledge on technological intricacies within the cloud space. Our blogs, webinars, case studies, and white papers enable all the stakeholders in the cloud computing sphere to advance in their businesses.

To get started, go through our Expert Advisory page and Managed Services Package that is CloudThats offerings.

Then, you can quickly get in touch with our highly accomplished team of experts to carry out your migration needs. Feel free to drop a comment or any queries that you have about Amazon RDS, Multi-AZ DB cluster, or any other AWS services, and we will get back to you quickly.

9. FAQs

  1. What is Deep Learning?
    Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.
  2. What is the accuracy of Amazon Rekognition?
    Rekognition is now up to 80% more accurate in distinguishing between people who look very similar to each other, and up to 35% more accurate in recognizing the same person with substantial changes in their appearance.

WRITTEN BY Shubham Dubey

Shubham Dubey works as a Sr. Research Associate at CloudThat. He has 3+ years of experience in AI/ML. He is highly passionate about learning new skills and technologies.

SHARE

Comments

    Click to Comment

Get The Most Out Of Us

Our support doesn't end here. We have monthly newsletters, study guides, practice questions, and more to assist you in upgrading your cloud career. Subscribe to get them all!