Building a Cricketers Facial Recognition System with AWS Rekognition | PART-1

Welcome to our step-by-step tutorial on creating a Facial Recognition System powered by AWS Rekognition! In this video, we'll guide you through the entire process, from setting up the necessary infrastructure to deploying a functional web application using Docker.
Step 1: Setting Up Infrastructure
Creating EC2 Instance: We'll start by launching an EC2 instance to serve as our computing environment.
Configuring AWS CLI: Learn how to configure the AWS Command Line Interface for seamless interaction with AWS services.
Creating AWS Rekognition Collection: We'll create a Rekognition collection to store and manage face data effectively.
Cloning GitHub Repository: Get hands-on with cloning a GitHub repository containing essential resources for our project.
Step 2: Configuring Core Components
Creating S3 Bucket: Set up an S3 bucket to store images and other resources.
Creating DynamoDB Table: Learn how to create a DynamoDB table to store metadata and other relevant information.
Creating Lambda Function: Discover the process of creating a Lambda function and configuring an S3 bucket as a trigger.
Step 3: Implementing Facial Recognition
Uploading Images to S3: Upload images to the S3 bucket, triggering the Lambda function to generate face prints.
Generating Face Prints: Witness the Lambda function in action as it generates face prints of uploaded images.
Storing Face Prints in DynamoDB: Explore how face prints are uploaded to the DynamoDB table for efficient storage and retrieval.
Running Web Application with Docker: Finally, we'll deploy a web application using Docker, showcasing the integration of our Facial Recognition System into a user-friendly interface.
Join us on this journey as we dive into the world of AWS Rekognition and build a powerful Facial Recognition System. Don't forget to like, share, and subscribe for more tutorials on AWS services and cutting-edge technologies!
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Thanks For Watching

[@Otakutronicx]

Wow ! Bro its amazing. I am working on a similar project of building an AI capable of recognizing sign n language.

[@DevOpsMaster-un3ms]

Oh that’s great to here, i hope this video is helpful for you 😊 and thanks for watching ❤️

[@arnaudfrancktaptuekuate5367]

There no dockerfile in your repository

[@ayencoscolfield3312]

@@arnaudfrancktaptuekuate5367 lol may be he does not need to build a docker image in this project just wondering

[@abbyj9394]

Amazing man 👏👏

[@DevOpsMaster-un3ms]

Thank you ❤️

[@Silent_yt678]

Great project 👏

[@ayencoscolfield3312]

Good stuff the project gives us a very good idea of how to deploy AI facial recongnition project within aws infrastructure using AWS Rekognition but you could have added a good readme file on your github you feel me, but all the same well done and i love your project its refreshing

[@DevOpsMaster-un3ms]

Thanks for your valuable feedback:) , definitely I will update that👍

[@bkbkbkkkk2471]

The Face Prints were not installed in my dynamoTable what should i do ?

[@arnaudfrancktaptuekuate5367]

Great project 👏🏽

[@DevOpsMaster-un3ms]

Thank you ❤️

[@bkbkbkkkk2471]

Dude were u able to complete this project ??

[@soumyaranjanswain-p1n]

how to run faceapp docker , let us know, or create a video on this

[@gauravbhoi2918]

i have some questions
1 s3 did you assign any inline policy to it and what are they?

[@bijanpattnaik5112]

Please make part 2 & detailed docker explanation of this project

[@DevOpsMaster-un3ms]

Sure 👍

[@MehmoodaBegum-g6d]

❤❤

[@arupde6320]

be regular

[@DevOpsMaster-un3ms]

👍

[@Silent_yt678]

Hii bro

[@DevOpsMaster-un3ms]

Hello

[@PriyanshuAgarwal-e6h]

Pagal Na banao Bekaar project h